Pandas Profiling Report

Dataset statistics

Number of variables	29
Number of observations	47
Missing cells	55
Missing cells (%)	4.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	10.8 KiB
Average record size in memory	234.7 B

Variable types

Numeric	9
Categorical	20

Alerts

`type` has constant value "regular"	Constant
`airdate` has constant value "2020-12-19"	Constant
`_embedded_show_dvdCountry` has constant value "nan"	Constant
`season` is highly correlated with `_embedded_show_updated`	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_updated` is highly correlated with `season`	High correlation
`season` is highly correlated with `runtime` and 2 other fields	High correlation
`number` is highly correlated with `_embedded_show_runtime`	High correlation
`runtime` is highly correlated with `season` and 2 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `season` and 3 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `season` and 2 other fields	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `_embedded_show_summary` and 11 other fields	High correlation
`summary` is highly correlated with `url` and 5 other fields	High correlation
`_embedded_show_summary` is highly correlated with `_embedded_show_officialSite` and 10 other fields	High correlation
`_embedded_show_type` is highly correlated with `url` and 5 other fields	High correlation
`_embedded_show_status` is highly correlated with `url` and 7 other fields	High correlation
`url` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`image` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`_embedded_show_ended` is highly correlated with `_embedded_show_status` and 7 other fields	High correlation
`_embedded_show_name` is highly correlated with `_embedded_show_officialSite` and 13 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`name` is highly correlated with `url` and 6 other fields	High correlation
`airdate` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`airtime` is highly correlated with `url` and 9 other fields	High correlation
`_links_self_href` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`_embedded_show_genres` is highly correlated with `_embedded_show_officialSite` and 15 other fields	High correlation
`type` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`_embedded_show_url` is highly correlated with `_embedded_show_officialSite` and 13 other fields	High correlation
`_embedded_show_language` is highly correlated with `url` and 7 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`airstamp` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`id` is highly correlated with `url` and 17 other fields	High correlation
`url` is highly correlated with `id` and 24 other fields	High correlation
`name` is highly correlated with `id` and 22 other fields	High correlation
`season` is highly correlated with `url` and 13 other fields	High correlation
`number` is highly correlated with `url` and 13 other fields	High correlation
`airtime` is highly correlated with `url` and 14 other fields	High correlation
`airstamp` is highly correlated with `id` and 18 other fields	High correlation
`runtime` is highly correlated with `id` and 17 other fields	High correlation
`image` is highly correlated with `id` and 24 other fields	High correlation
`summary` is highly correlated with `url` and 11 other fields	High correlation
`_embedded_show_id` is highly correlated with `url` and 13 other fields	High correlation
`_embedded_show_url` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_name` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_type` is highly correlated with `url` and 16 other fields	High correlation
`_embedded_show_language` is highly correlated with `url` and 10 other fields	High correlation
`_embedded_show_genres` is highly correlated with `id` and 19 other fields	High correlation
`_embedded_show_status` is highly correlated with `id` and 11 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `id` and 15 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `id` and 16 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `id` and 23 other fields	High correlation
`_embedded_show_ended` is highly correlated with `id` and 13 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_weight` is highly correlated with `id` and 13 other fields	High correlation
`_embedded_show_summary` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_updated` is highly correlated with `id` and 12 other fields	High correlation
`_links_self_href` is highly correlated with `id` and 24 other fields	High correlation
`runtime` has 5 (10.6%) missing values	Missing
`image` has 32 (68.1%) missing values	Missing
`_embedded_show_runtime` has 13 (27.7%) missing values	Missing
`_embedded_show_averageRuntime` has 5 (10.6%) missing values	Missing
`url` is uniformly distributed	Uniform
`name` is uniformly distributed	Uniform
`image` is uniformly distributed	Uniform
`_embedded_show_url` is uniformly distributed	Uniform
`_embedded_show_name` is uniformly distributed	Uniform
`_embedded_show_premiered` is uniformly distributed	Uniform
`_embedded_show_officialSite` is uniformly distributed	Uniform
`_embedded_show_summary` is uniformly distributed	Uniform
`_links_self_href` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links_self_href` has unique values	Unique
`_embedded_show_weight` has 1 (2.1%) zeros	Zeros

Reproduction

Analysis started	2022-05-10 02:17:01.599912
Analysis finished	2022-05-10 02:17:21.023859
Duration	19.42 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	47
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2051438.298

Minimum	1943281
Maximum	2318107
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	504.0 B

Quantile statistics

Minimum	1943281
5-th percentile	1956038.7
Q1	1984912.5
median	1997520
Q3	2112516.5
95-th percentile	2289709
Maximum	2318107
Range	374826
Interquartile range (IQR)	127604

Descriptive statistics

Standard deviation	103634.4203
Coefficient of variation (CV)	0.05051793196
Kurtosis	0.7756323236
Mean	2051438.298
Median Absolute Deviation (MAD)	35462
Skewness	1.337740001
Sum	96417600
Variance	1.074009308 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
1988862	1	2.1%
2289324	1	2.1%
1997520	1	2.1%
1997521	1	2.1%
2000064	1	2.1%
2000065	1	2.1%
2031192	1	2.1%
2039937	1	2.1%
2118378	1	2.1%
2181797	1	2.1%
Other values (37)	37	78.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1943281	1	2.1%
1953070	1	2.1%
1953789	1	2.1%
1961288	1	2.1%
1962058	1	2.1%
1972571	1	2.1%
1972572	1	2.1%
1977327	1	2.1%
1983274	1	2.1%
1984181	1	2.1%

Value	Count	Frequency (%)
2318107	1	2.1%
2311214	1	2.1%
2289874	1	2.1%
2289324	1	2.1%
2212167	1	2.1%
2182118	1	2.1%
2181797	1	2.1%
2176136	1	2.1%
2138926	1	2.1%
2137604	1	2.1%

url
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	47
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	504.0 B

https://www.tvmaze.com/episodes/1988862/sim-for-you-4x24-chanyeols-episode-24	1
https://www.tvmaze.com/episodes/2289324/blippi-2020-12-19-blippi-visits-a-christmas-tree-farm-educational-videos-for-kids	1
https://www.tvmaze.com/episodes/1997520/the-penalty-zone-1x13-episode-13	1
https://www.tvmaze.com/episodes/1997521/the-penalty-zone-1x14-episode-14	1
https://www.tvmaze.com/episodes/2000064/ultimate-note-1x17-episode-17	1
Other values (42)	42

Length

Max length	122
Median length	90
Mean length	81.29787234
Min length	53

Characters and Unicode

Total characters	3821
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	47 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/1988862/sim-for-you-4x24-chanyeols-episode-24
2nd row	https://www.tvmaze.com/episodes/1989501/troe-iz-prostokvasino-2x39-papa-ne-goruj
3rd row	https://www.tvmaze.com/episodes/1989503/troe-iz-prostokvasino-2x40-sneznyj-labirint
4th row	https://www.tvmaze.com/episodes/1988697/soul-land-7x05-di135ji
5th row	https://www.tvmaze.com/episodes/2138926/tokyo-joshi-pro-wrestling-2020-12-19-tjpw-seno-merry-christmas-2020

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1988862/sim-for-you-4x24-chanyeols-episode-24	1	2.1%
https://www.tvmaze.com/episodes/2289324/blippi-2020-12-19-blippi-visits-a-christmas-tree-farm-educational-videos-for-kids	1	2.1%
https://www.tvmaze.com/episodes/1997520/the-penalty-zone-1x13-episode-13	1	2.1%
https://www.tvmaze.com/episodes/1997521/the-penalty-zone-1x14-episode-14	1	2.1%
https://www.tvmaze.com/episodes/2000064/ultimate-note-1x17-episode-17	1	2.1%
https://www.tvmaze.com/episodes/2000065/ultimate-note-1x18-episode-18	1	2.1%
https://www.tvmaze.com/episodes/2031192/our-memory-1x03-episode-3	1	2.1%
https://www.tvmaze.com/episodes/2039937/tregayes-way-in-the-kitchen-1x06-soul-food-sunday	1	2.1%
https://www.tvmaze.com/episodes/2118378/yaar-jigree-kasooti-degree-2x12-cracked	1	2.1%
https://www.tvmaze.com/episodes/2181797/i-like-to-watch-3x09-dolly-partons-christmas-on-the-square	1	2.1%
Other values (37)	37	78.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1988862/sim-for-you-4x24-chanyeols-episode-24	1	2.1%
https://www.tvmaze.com/episodes/2212167/zombety-1x08-8-seria	1	2.1%
https://www.tvmaze.com/episodes/1989503/troe-iz-prostokvasino-2x40-sneznyj-labirint	1	2.1%
https://www.tvmaze.com/episodes/1988697/soul-land-7x05-di135ji	1	2.1%
https://www.tvmaze.com/episodes/2138926/tokyo-joshi-pro-wrestling-2020-12-19-tjpw-seno-merry-christmas-2020	1	2.1%
https://www.tvmaze.com/episodes/1962058/heaven-officials-blessing-1x09-evil-taoist-scourge	1	2.1%
https://www.tvmaze.com/episodes/1972571/the-wolf-1x29-episode-29	1	2.1%
https://www.tvmaze.com/episodes/1972572/the-wolf-1x30-episode-30	1	2.1%
https://www.tvmaze.com/episodes/2071487/youths-in-the-breeze-1x17-full-time-sworn-enemy-01	1	2.1%
https://www.tvmaze.com/episodes/2071488/youths-in-the-breeze-1x18-full-time-sworn-enemy-02	1	2.1%
Other values (37)	37	78.7%

Most occurring characters

Value	Count	Frequency (%)
e	313	8.2%
-	301	7.9%
t	242	6.3%
s	241	6.3%
/	235	6.2%
o	213	5.6%
w	166	4.3%
i	157	4.1%
1	137	3.6%
p	135	3.5%
Other values (30)	1681	44.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2583	67.6%
Decimal Number	561	14.7%
Other Punctuation	376	9.8%
Dash Punctuation	301	7.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	313	12.1%
t	242	9.4%
s	241	9.3%
o	213	8.2%
w	166	6.4%
i	157	6.1%
p	135	5.2%
a	134	5.2%
m	134	5.2%
d	103	4.0%
Other values (16)	745	28.8%

Decimal Number

Value	Count	Frequency (%)
1	137	24.4%
2	85	15.2%
0	71	12.7%
9	64	11.4%
8	55	9.8%
7	37	6.6%
3	35	6.2%
5	28	5.0%
4	27	4.8%
6	22	3.9%

Other Punctuation

Value	Count	Frequency (%)
/	235	62.5%
.	94	25.0%
:	47	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	301	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2583	67.6%
Common	1238	32.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	313	12.1%
t	242	9.4%
s	241	9.3%
o	213	8.2%
w	166	6.4%
i	157	6.1%
p	135	5.2%
a	134	5.2%
m	134	5.2%
d	103	4.0%
Other values (16)	745	28.8%

Common

Value	Count	Frequency (%)
-	301	24.3%
/	235	19.0%
1	137	11.1%
.	94	7.6%
2	85	6.9%
0	71	5.7%
9	64	5.2%
8	55	4.4%
:	47	3.8%
7	37	3.0%
Other values (4)	112	9.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3821	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	313	8.2%
-	301	7.9%
t	242	6.3%
s	241	6.3%
/	235	6.2%
o	213	5.6%
w	166	4.3%
i	157	4.1%
1	137	3.6%
p	135	3.5%
Other values (30)	1681	44.0%

name
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	46
Distinct (%)	97.9%
Missing	0
Missing (%)	0.0%
Memory size	504.0 B

Episode 3	2
Chanyeol's Episode 24	1
Blippi Visits A Christmas Tree Farm \| Educational Videos For Kids	1
Episode 13	1
Episode 14	1
Other values (41)	41

Length

Max length	70
Median length	30
Mean length	19.04255319
Min length	3

Characters and Unicode

Total characters	895
Distinct characters	114
Distinct categories	8 ?
Distinct scripts	5 ?
Distinct blocks	5 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	45 ?
Unique (%)	95.7%

Sample

1st row	Chanyeol's Episode 24
2nd row	Папа, не горюй
3rd row	Снежный лабиринт
4th row	第135集
5th row	TJPW Se~No Merry Christmas! 2020

Common Values

Value	Count	Frequency (%)
Episode 3	2	4.3%
Chanyeol's Episode 24	1	2.1%
Blippi Visits A Christmas Tree Farm \| Educational Videos For Kids	1	2.1%
Episode 13	1	2.1%
Episode 14	1	2.1%
Episode 17	1	2.1%
Episode 18	1	2.1%
Soul Food Sunday	1	2.1%
CRACKED	1	2.1%
Dolly Parton's Christmas on the Square	1	2.1%
Other values (36)	36	76.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	12	7.7%
the	4	2.6%
christmas	3	1.9%
19	3	1.9%
enemy	2	1.3%
vs	2	1.3%
не	2	1.3%
2020	2	1.3%
sworn	2	1.3%
full-time	2	1.3%
Other values (114)	122	78.2%

Most occurring characters

Value	Count	Frequency (%)
	109	12.2%
e	61	6.8%
i	46	5.1%
o	45	5.0%
s	42	4.7%
a	33	3.7%
r	32	3.6%
t	32	3.6%
n	27	3.0%
d	26	2.9%
Other values (104)	442	49.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	546	61.0%
Uppercase Letter	146	16.3%
Space Separator	109	12.2%
Decimal Number	52	5.8%
Other Punctuation	23	2.6%
Other Letter	14	1.6%
Dash Punctuation	3	0.3%
Math Symbol	2	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	61	11.2%
i	46	8.4%
o	45	8.2%
s	42	7.7%
a	33	6.0%
r	32	5.9%
t	32	5.9%
n	27	4.9%
d	26	4.8%
h	20	3.7%
Other values (39)	182	33.3%

Uppercase Letter

Value	Count	Frequency (%)
E	21	14.4%
F	12	8.2%
S	11	7.5%
T	9	6.2%
N	9	6.2%
C	9	6.2%
D	8	5.5%
M	7	4.8%
P	7	4.8%
R	7	4.8%
Other values (19)	46	31.5%

Other Letter

Value	Count	Frequency (%)
행	1	7.1%
여	1	7.1%
추	1	7.1%
억	1	7.1%
째	1	7.1%
集	1	7.1%
第	1	7.1%
번	1	7.1%
오	1	7.1%
마	1	7.1%
Other values (4)	4	28.6%

Decimal Number

Value	Count	Frequency (%)
1	15	28.8%
0	7	13.5%
2	7	13.5%
9	6	11.5%
3	6	11.5%
8	4	7.7%
4	3	5.8%
5	2	3.8%
6	1	1.9%
7	1	1.9%

Other Punctuation

Value	Count	Frequency (%)
,	5	21.7%
:	4	17.4%
!	3	13.0%
.	3	13.0%
#	2	8.7%
'	2	8.7%
?	2	8.7%
"	2	8.7%

Math Symbol

Value	Count	Frequency (%)
\|	1	50.0%
~	1	50.0%

Space Separator

Value	Count	Frequency (%)
	109	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	606	67.7%
Common	189	21.1%
Cyrillic	86	9.6%
Hangul	12	1.3%
Han	2	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	61	10.1%
i	46	7.6%
o	45	7.4%
s	42	6.9%
a	33	5.4%
r	32	5.3%
t	32	5.3%
n	27	4.5%
d	26	4.3%
E	21	3.5%
Other values (38)	241	39.8%

Cyrillic

Value	Count	Frequency (%)
и	9	10.5%
н	7	8.1%
о	6	7.0%
а	6	7.0%
р	5	5.8%
е	5	5.8%
к	4	4.7%
т	3	3.5%
й	3	3.5%
я	3	3.5%
Other values (20)	35	40.7%

Common

Value	Count	Frequency (%)
	109	57.7%
1	15	7.9%
0	7	3.7%
2	7	3.7%
9	6	3.2%
3	6	3.2%
,	5	2.6%
8	4	2.1%
:	4	2.1%
4	3	1.6%
Other values (12)	23	12.2%

Hangul

Value	Count	Frequency (%)
행	1	8.3%
여	1	8.3%
추	1	8.3%
억	1	8.3%
째	1	8.3%
번	1	8.3%
오	1	8.3%
마	1	8.3%
이	1	8.3%
걸	1	8.3%
Other values (2)	2	16.7%

Han

Value	Count	Frequency (%)
集	1	50.0%
第	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	794	88.7%
Cyrillic	86	9.6%
Hangul	12	1.3%
CJK	2	0.2%
None	1	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	109	13.7%
e	61	7.7%
i	46	5.8%
o	45	5.7%
s	42	5.3%
a	33	4.2%
r	32	4.0%
t	32	4.0%
n	27	3.4%
d	26	3.3%
Other values (59)	341	42.9%

Cyrillic

Value	Count	Frequency (%)
и	9	10.5%
н	7	8.1%
о	6	7.0%
а	6	7.0%
р	5	5.8%
е	5	5.8%
к	4	4.7%
т	3	3.5%
й	3	3.5%
я	3	3.5%
Other values (20)	35	40.7%

None

Value	Count	Frequency (%)
å	1	100.0%

Hangul

Value	Count	Frequency (%)
행	1	8.3%
여	1	8.3%
추	1	8.3%
억	1	8.3%
째	1	8.3%
번	1	8.3%
오	1	8.3%
마	1	8.3%
이	1	8.3%
걸	1	8.3%
Other values (2)	2	16.7%

CJK

Value	Count	Frequency (%)
集	1	50.0%
第	1	50.0%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	19.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	302.6595745

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	504.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	4.5
95-th percentile	2020
Maximum	2020
Range	2019
Interquartile range (IQR)	3.5

Descriptive statistics

Standard deviation	726.1838693
Coefficient of variation (CV)	2.399342134
Kurtosis	2.246181409
Mean	302.6595745
Median Absolute Deviation (MAD)	0
Skewness	2.037723593
Sum	14225
Variance	527343.012
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	24	51.1%
2020	7	14.9%
2	5	10.6%
3	4	8.5%
4	2	4.3%
5	2	4.3%
7	1	2.1%
8	1	2.1%
6	1	2.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	24	51.1%
2	5	10.6%
3	4	8.5%
4	2	4.3%
5	2	4.3%
6	1	2.1%
7	1	2.1%
8	1	2.1%
2020	7	14.9%

Value	Count	Frequency (%)
2020	7	14.9%
8	1	2.1%
7	1	2.1%
6	1	2.1%
5	2	4.3%
4	2	4.3%
3	4	8.5%
2	5	10.6%
1	24	51.1%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	25
Distinct (%)	53.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.91489362

Minimum	3
Maximum	346
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	504.0 B

Quantile statistics

Minimum	3
5-th percentile	4.3
Q1	6.5
median	13
Q3	19
95-th percentile	52.4
Maximum	346
Range	343
Interquartile range (IQR)	12.5

Descriptive statistics

Standard deviation	49.89764732
Coefficient of variation (CV)	2.086467459
Kurtosis	39.81287658
Mean	23.91489362
Median Absolute Deviation (MAD)	6
Skewness	6.100368112
Sum	1124
Variance	2489.775208
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
5	5	10.6%
6	4	8.5%
17	3	6.4%
18	3	6.4%
9	3	6.4%
12	3	6.4%
19	3	6.4%
3	2	4.3%
8	2	4.3%
14	2	4.3%
Other values (15)	17	36.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	2	4.3%
4	1	2.1%
5	5	10.6%
6	4	8.5%
7	1	2.1%
8	2	4.3%
9	3	6.4%
10	2	4.3%
12	3	6.4%
13	1	2.1%

Value	Count	Frequency (%)
346	1	2.1%
54	1	2.1%
53	1	2.1%
51	1	2.1%
44	1	2.1%
40	1	2.1%
39	1	2.1%
30	2	4.3%
29	1	2.1%
24	1	2.1%

type
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Memory size	504.0 B

regular	47

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	329
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	47	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	47	100.0%

Most occurring characters

Value	Count	Frequency (%)
r	94	28.6%
e	47	14.3%
g	47	14.3%
u	47	14.3%
l	47	14.3%
a	47	14.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	329	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	94	28.6%
e	47	14.3%
g	47	14.3%
u	47	14.3%
l	47	14.3%
a	47	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	329	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	94	28.6%
e	47	14.3%
g	47	14.3%
u	47	14.3%
l	47	14.3%
a	47	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	329	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	94	28.6%
e	47	14.3%
g	47	14.3%
u	47	14.3%
l	47	14.3%
a	47	14.3%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Memory size	504.0 B

2020-12-19	47

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	470
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-19
2nd row	2020-12-19
3rd row	2020-12-19
4th row	2020-12-19
5th row	2020-12-19

Common Values

Value	Count	Frequency (%)
2020-12-19	47	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-19	47	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	141	30.0%
0	94	20.0%
-	94	20.0%
1	94	20.0%
9	47	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	376	80.0%
Dash Punctuation	94	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	141	37.5%
0	94	25.0%
1	94	25.0%
9	47	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	94	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	470	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	141	30.0%
0	94	20.0%
-	94	20.0%
1	94	20.0%
9	47	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	470	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	141	30.0%
0	94	20.0%
-	94	20.0%
1	94	20.0%
9	47	10.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	25.5%
Missing	0
Missing (%)	0.0%
Memory size	504.0 B

nan	34
06:00	2
11:00	2
10:00	1
12:00	1
Other values (7)	7

Length

Max length	5
Median length	3
Mean length	3.553191489
Min length	3

Characters and Unicode

Total characters	167
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	19.1%

Sample

1st row	06:00
2nd row	nan
3rd row	nan
4th row	10:00
5th row	12:00

Common Values

Value	Count	Frequency (%)
nan	34	72.3%
06:00	2	4.3%
11:00	2	4.3%
10:00	1	2.1%
12:00	1	2.1%
05:00	1	2.1%
17:00	1	2.1%
18:00	1	2.1%
00:15	1	2.1%
21:50	1	2.1%
Other values (2)	2	4.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	34	72.3%
06:00	2	4.3%
11:00	2	4.3%
10:00	1	2.1%
12:00	1	2.1%
05:00	1	2.1%
17:00	1	2.1%
18:00	1	2.1%
00:15	1	2.1%
21:50	1	2.1%
Other values (2)	2	4.3%

Most occurring characters

Value	Count	Frequency (%)
n	68	40.7%
a	34	20.4%
0	29	17.4%
:	13	7.8%
1	11	6.6%
2	4	2.4%
6	3	1.8%
5	3	1.8%
7	1	0.6%
8	1	0.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	102	61.1%
Decimal Number	52	31.1%
Other Punctuation	13	7.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	29	55.8%
1	11	21.2%
2	4	7.7%
6	3	5.8%
5	3	5.8%
7	1	1.9%
8	1	1.9%

Lowercase Letter

Value	Count	Frequency (%)
n	68	66.7%
a	34	33.3%

Other Punctuation

Value	Count	Frequency (%)
:	13	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	102	61.1%
Common	65	38.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	29	44.6%
:	13	20.0%
1	11	16.9%
2	4	6.2%
6	3	4.6%
5	3	4.6%
7	1	1.5%
8	1	1.5%

Latin

Value	Count	Frequency (%)
n	68	66.7%
a	34	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	167	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	68	40.7%
a	34	20.4%
0	29	17.4%
:	13	7.8%
1	11	6.6%
2	4	2.4%
6	3	1.8%
5	3	1.8%
7	1	0.6%
8	1	0.6%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	17
Distinct (%)	36.2%
Missing	0
Missing (%)	0.0%
Memory size	504.0 B

2020-12-19T12:00:00+00:00	20
2020-12-19T04:00:00+00:00	5
2020-12-19T17:00:00+00:00	5
2020-12-19T03:00:00+00:00	2
2020-12-19T00:00:00+00:00	2
Other values (12)	13

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	1175
Distinct characters	14
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	23.4%

Sample

1st row	2020-12-18T21:00:00+00:00
2nd row	2020-12-19T00:00:00+00:00
3rd row	2020-12-19T00:00:00+00:00
4th row	2020-12-19T02:00:00+00:00
5th row	2020-12-19T03:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-19T12:00:00+00:00	20	42.6%
2020-12-19T04:00:00+00:00	5	10.6%
2020-12-19T17:00:00+00:00	5	10.6%
2020-12-19T03:00:00+00:00	2	4.3%
2020-12-19T00:00:00+00:00	2	4.3%
2020-12-19T11:00:00+00:00	2	4.3%
2020-12-18T21:00:00+00:00	1	2.1%
2020-12-19T15:15:00+00:00	1	2.1%
2020-12-19T21:00:00+00:00	1	2.1%
2020-12-19T20:50:00+00:00	1	2.1%
Other values (7)	7	14.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-19t12:00:00+00:00	20	42.6%
2020-12-19t17:00:00+00:00	5	10.6%
2020-12-19t04:00:00+00:00	5	10.6%
2020-12-19t03:00:00+00:00	2	4.3%
2020-12-19t00:00:00+00:00	2	4.3%
2020-12-19t11:00:00+00:00	2	4.3%
2020-12-19t09:00:00+00:00	1	2.1%
2020-12-19t02:00:00+00:00	1	2.1%
2020-12-19t05:00:00+00:00	1	2.1%
2020-12-19t07:00:00+00:00	1	2.1%
Other values (7)	7	14.9%

Most occurring characters

Value	Count	Frequency (%)
0	486	41.4%
2	166	14.1%
:	141	12.0%
1	127	10.8%
-	94	8.0%
T	47	4.0%
+	47	4.0%
9	46	3.9%
7	6	0.5%
4	5	0.4%
Other values (4)	10	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	846	72.0%
Other Punctuation	141	12.0%
Dash Punctuation	94	8.0%
Uppercase Letter	47	4.0%
Math Symbol	47	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	486	57.4%
2	166	19.6%
1	127	15.0%
9	46	5.4%
7	6	0.7%
4	5	0.6%
5	4	0.5%
3	3	0.4%
8	2	0.2%
6	1	0.1%

Other Punctuation

Value	Count	Frequency (%)
:	141	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	94	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	47	100.0%

Math Symbol

Value	Count	Frequency (%)
+	47	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1128	96.0%
Latin	47	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	486	43.1%
2	166	14.7%
:	141	12.5%
1	127	11.3%
-	94	8.3%
+	47	4.2%
9	46	4.1%
7	6	0.5%
4	5	0.4%
5	4	0.4%
Other values (3)	6	0.5%

Latin

Value	Count	Frequency (%)
T	47	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	486	41.4%
2	166	14.1%
:	141	12.0%
1	127	10.8%
-	94	8.0%
T	47	4.0%
+	47	4.0%
9	46	3.9%
7	6	0.5%
4	5	0.4%
Other values (4)	10	0.9%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	23
Distinct (%)	54.8%
Missing	5
Missing (%)	10.6%
Infinite	0
Infinite (%)	0.0%
Mean	41.80952381

Minimum	5
Maximum	335
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	504.0 B

Quantile statistics

Minimum	5
5-th percentile	7.2
Q1	18.25
median	27.5
Q3	45
95-th percentile	117
Maximum	335
Range	330
Interquartile range (IQR)	26.75

Descriptive statistics

Standard deviation	52.69712729
Coefficient of variation (CV)	1.26040965
Kurtosis	24.13819481
Mean	41.80952381
Median Absolute Deviation (MAD)	16
Skewness	4.515997777
Sum	1756
Variance	2776.987224
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
45	7	14.9%
60	4	8.5%
30	3	6.4%
20	3	6.4%
15	2	4.3%
19	2	4.3%
16	2	4.3%
7	2	4.3%
25	2	4.3%
120	2	4.3%
Other values (13)	13	27.7%
(Missing)	5	10.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	2.1%
7	2	4.3%
11	1	2.1%
12	1	2.1%
15	2	4.3%
16	2	4.3%
17	1	2.1%
18	1	2.1%
19	2	4.3%
20	3	6.4%

Value	Count	Frequency (%)
335	1	2.1%
120	2	4.3%
60	4	8.5%
51	1	2.1%
50	1	2.1%
46	1	2.1%
45	7	14.9%
30	3	6.4%
29	1	2.1%
26	1	2.1%

image
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	15
Distinct (%)	100.0%
Missing	32
Missing (%)	68.1%
Memory size	504.0 B

{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726419.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726419.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726420.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726420.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726353.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726353.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/721858.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/721858.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/361/903574.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/361/903574.jpg'}	1
Other values (10)	10

Length

Max length	178
Median length	176
Mean length	176.1333333
Min length	176

Characters and Unicode

Total characters	2642
Distinct characters	38
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15 ?
Unique (%)	100.0%

Sample

1st row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726419.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726419.jpg'}
2nd row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726420.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726420.jpg'}
3rd row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726353.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726353.jpg'}
4th row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/721858.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/721858.jpg'}
5th row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/361/903574.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/361/903574.jpg'}

Common Values

Value	Count	Frequency (%)
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726419.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726419.jpg'}	1	2.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726420.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726420.jpg'}	1	2.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726353.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726353.jpg'}	1	2.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/721858.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/721858.jpg'}	1	2.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/361/903574.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/361/903574.jpg'}	1	2.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/292/731119.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/292/731119.jpg'}	1	2.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/721376.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/721376.jpg'}	1	2.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724599.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724599.jpg'}	1	2.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724600.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724600.jpg'}	1	2.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724853.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724853.jpg'}	1	2.1%
Other values (5)	5	10.6%
(Missing)	32	68.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
medium	15	25.0%
original	15	25.0%
https://static.tvmaze.com/uploads/images/original_untouched/289/724599.jpg	1	1.7%
https://static.tvmaze.com/uploads/images/medium_landscape/288/721046.jpg	1	1.7%
https://static.tvmaze.com/uploads/images/original_untouched/329/823876.jpg	1	1.7%
https://static.tvmaze.com/uploads/images/medium_landscape/329/823876.jpg	1	1.7%
https://static.tvmaze.com/uploads/images/original_untouched/290/727216.jpg	1	1.7%
https://static.tvmaze.com/uploads/images/medium_landscape/290/727216.jpg	1	1.7%
https://static.tvmaze.com/uploads/images/original_untouched/404/1010042.jpg	1	1.7%
https://static.tvmaze.com/uploads/images/medium_landscape/404/1010042.jpg	1	1.7%
Other values (22)	22	36.7%

Most occurring characters

Value	Count	Frequency (%)
/	210	7.9%
a	180	6.8%
t	165	6.2%
m	150	5.7%
i	150	5.7%
s	135	5.1%
e	120	4.5%
'	120	4.5%
o	105	4.0%
p	105	4.0%
Other values (28)	1202	45.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1770	67.0%
Other Punctuation	495	18.7%
Decimal Number	272	10.3%
Space Separator	45	1.7%
Connector Punctuation	30	1.1%
Close Punctuation	15	0.6%
Open Punctuation	15	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	180	10.2%
t	165	9.3%
m	150	8.5%
i	150	8.5%
s	135	7.6%
e	120	6.8%
o	105	5.9%
p	105	5.9%
u	90	5.1%
c	90	5.1%
Other values (9)	480	27.1%

Decimal Number

Value	Count	Frequency (%)
2	58	21.3%
9	32	11.8%
8	32	11.8%
7	30	11.0%
0	26	9.6%
1	22	8.1%
3	22	8.1%
6	20	7.4%
4	20	7.4%
5	10	3.7%

Other Punctuation

Value	Count	Frequency (%)
/	210	42.4%
'	120	24.2%
.	90	18.2%
:	60	12.1%
,	15	3.0%

Space Separator

Value	Count	Frequency (%)
	45	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	30	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	15	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	15	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1770	67.0%
Common	872	33.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	210	24.1%
'	120	13.8%
.	90	10.3%
:	60	6.9%
2	58	6.7%
	45	5.2%
9	32	3.7%
8	32	3.7%
_	30	3.4%
7	30	3.4%
Other values (9)	165	18.9%

Latin

Value	Count	Frequency (%)
a	180	10.2%
t	165	9.3%
m	150	8.5%
i	150	8.5%
s	135	7.6%
e	120	6.8%
o	105	5.9%
p	105	5.9%
u	90	5.1%
c	90	5.1%
Other values (9)	480	27.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2642	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	210	7.9%
a	180	6.8%
t	165	6.2%
m	150	5.7%
i	150	5.7%
s	135	5.1%
e	120	4.5%
'	120	4.5%
o	105	4.0%
p	105	4.0%
Other values (28)	1202	45.5%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	23.4%
Missing	0
Missing (%)	0.0%
Memory size	504.0 B

nan	37
<p><b>#VacanceAlbumRelease #Thisistheend #(There'sacookie)</b></p>	1
<p>The Japanese make gains in Malaya, Burma, Hong Kong, Borneo, and the Philippines. The Allies also have trouble in the Atlantic and the Mediterranean, where they are beginning to seriously suffer from a lack of capital ships. The Soviet Red Army is advancing, though, and Stalin takes personal control of planning for the upcoming counteroffensive, while Adolf Hitler takes personal control of the German Army.</p>	1
<p>Chai, a handsome man, and his friend Om were taking videos secretly and sell the video clips via an "Open Chat" software called "XTH Room". As both encounter a new victim, nothing will be the same.</p>	1
<p>Yun-hsiang becomes a target of slander, Shen Hua caves under pressure from his father, and Jui-hsin watches Yun-hsiang carry out an act of desperation.</p><p><br /> </p>	1
Other values (6)	6

Length

Max length	416
Median length	3
Mean length	46.5106383
Min length	3

Characters and Unicode

Total characters	2186
Distinct characters	61
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	21.3%

Sample

1st row	<p><b>#VacanceAlbumRelease #Thisistheend #(There'sacookie)</b></p>
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	37	78.7%
<p><b>#VacanceAlbumRelease #Thisistheend #(There'sacookie)</b></p>	1	2.1%
<p>The Japanese make gains in Malaya, Burma, Hong Kong, Borneo, and the Philippines. The Allies also have trouble in the Atlantic and the Mediterranean, where they are beginning to seriously suffer from a lack of capital ships. The Soviet Red Army is advancing, though, and Stalin takes personal control of planning for the upcoming counteroffensive, while Adolf Hitler takes personal control of the German Army.</p>	1	2.1%
<p>Chai, a handsome man, and his friend Om were taking videos secretly and sell the video clips via an "Open Chat" software called "XTH Room". As both encounter a new victim, nothing will be the same.</p>	1	2.1%
<p>Yun-hsiang becomes a target of slander, Shen Hua caves under pressure from his father, and Jui-hsin watches Yun-hsiang carry out an act of desperation.</p><p><br /> </p>	1	2.1%
<p>Yun-hsiang becomes trapped in a parallel consciousness. Cheng Wen-liang seeks his uncle's aid in preventing Jui-hsin's vengeful plan.</p><p><br /> </p>	1	2.1%
<p>Tregaye Fraser prepares a Sunday feast for her family with love, laughs, stories and great food! She makes her Grandma's Mac and Cheese, Smothered Pork Chops and Collard Greens.</p>	1	2.1%
<p>Always alone at school, Yamasato was able to live away from reality by writing his fantasy stories in his notebook. In the story, he is the center of the world, and the heroine, by default, is Ai (Hashimoto Ai), the popular girl at the school. But one day when he opened his notebook, he found the rest of the story he had never written... </p>	1	2.1%
<p><b>"</b><i>It's all out war in Atlas. Our heroes face an impossible problem. Where do they go from here?</i><b>"</b></p>	1	2.1%
<p>Chef Lovely creates an elegant dinner for close friends. She makes her Roasted Chicken with Pomegranate Glaze, Green Beans Over Lemon Ricotta and Sweet Potato and Gruyere Gratin. Plus, there's an Upside-Down Pear Tart for dessert. You can taste the love!</p>	1	2.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	37	10.1%
the	19	5.2%
and	12	3.3%
a	8	2.2%
of	8	2.2%
in	7	1.9%
his	6	1.6%
from	5	1.4%
for	5	1.4%
an	5	1.4%
Other values (220)	253	69.3%

Most occurring characters

Value	Count	Frequency (%)
	315	14.4%
e	205	9.4%
n	193	8.8%
a	175	8.0%
o	110	5.0%
r	104	4.8%
s	104	4.8%
t	102	4.7%
i	92	4.2%
h	87	4.0%
Other values (51)	699	32.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1613	73.8%
Space Separator	318	14.5%
Uppercase Letter	92	4.2%
Other Punctuation	84	3.8%
Math Symbol	68	3.1%
Dash Punctuation	7	0.3%
Open Punctuation	2	0.1%
Close Punctuation	2	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	205	12.7%
n	193	12.0%
a	175	10.8%
o	110	6.8%
r	104	6.4%
s	104	6.4%
t	102	6.3%
i	92	5.7%
h	87	5.4%
l	67	4.2%
Other values (14)	374	23.2%

Uppercase Letter

Value	Count	Frequency (%)
A	12	13.0%
C	8	8.7%
S	8	8.7%
T	8	8.7%
G	7	7.6%
P	6	6.5%
H	5	5.4%
R	5	5.4%
Y	5	5.4%
O	4	4.3%
Other values (12)	24	26.1%

Other Punctuation

Value	Count	Frequency (%)
,	27	32.1%
.	21	25.0%
/	18	21.4%
"	6	7.1%
'	6	7.1%
#	3	3.6%
!	2	2.4%
?	1	1.2%

Space Separator

Value	Count	Frequency (%)
	315	99.1%
	3	0.9%

Math Symbol

Value	Count	Frequency (%)
>	34	50.0%
<	34	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1705	78.0%
Common	481	22.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	205	12.0%
n	193	11.3%
a	175	10.3%
o	110	6.5%
r	104	6.1%
s	104	6.1%
t	102	6.0%
i	92	5.4%
h	87	5.1%
l	67	3.9%
Other values (36)	466	27.3%

Common

Value	Count	Frequency (%)
	315	65.5%
>	34	7.1%
<	34	7.1%
,	27	5.6%
.	21	4.4%
/	18	3.7%
-	7	1.5%
"	6	1.2%
'	6	1.2%
	3	0.6%
Other values (5)	10	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2183	99.9%
None	3	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	315	14.4%
e	205	9.4%
n	193	8.8%
a	175	8.0%
o	110	5.0%
r	104	4.8%
s	104	4.8%
t	102	4.7%
i	92	4.2%
h	87	4.0%
Other values (50)	696	31.9%

None

Value	Count	Frequency (%)
	3	100.0%

_embedded_show_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	41
Distinct (%)	87.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46208.65957

Minimum	1596
Maximum	61755
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	504.0 B

Quantile statistics

Minimum	1596
5-th percentile	10892
Q1	43220
median	51125
Q3	54325
95-th percentile	60836.3
Maximum	61755
Range	60159
Interquartile range (IQR)	11105

Descriptive statistics

Standard deviation	15009.73174
Coefficient of variation (CV)	0.3248250842
Kurtosis	2.320244183
Mean	46208.65957
Median Absolute Deviation (MAD)	3637
Skewness	-1.735525116
Sum	2171807
Variance	225292046.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
51125	2	4.3%
47912	2	4.3%
10892	2	4.3%
52743	2	4.3%
54762	2	4.3%
52806	2	4.3%
53754	1	2.1%
50939	1	2.1%
50839	1	2.1%
25294	1	2.1%
Other values (31)	31	66.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1596	1	2.1%
4091	1	2.1%
10892	2	4.3%
19667	1	2.1%
25294	1	2.1%
30606	1	2.1%
35551	1	2.1%
36840	1	2.1%
40232	1	2.1%
41648	1	2.1%

Value	Count	Frequency (%)
61755	1	2.1%
61536	1	2.1%
60848	1	2.1%
60809	1	2.1%
58844	1	2.1%
57956	1	2.1%
57945	1	2.1%
56605	1	2.1%
56067	1	2.1%
55919	1	2.1%

_embedded_show_url
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	41
Distinct (%)	87.2%
Missing	0
Missing (%)	0.0%
Memory size	504.0 B

https://www.tvmaze.com/shows/51125/detention	2
https://www.tvmaze.com/shows/47912/the-wolf	2
https://www.tvmaze.com/shows/10892/troe-iz-prostokvasino	2
https://www.tvmaze.com/shows/52743/the-penalty-zone	2
https://www.tvmaze.com/shows/54762/youths-in-the-breeze	2
Other values (36)	37

Length

Max length	64
Median length	56
Mean length	50.38297872
Min length	38

Characters and Unicode

Total characters	2368
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	35 ?
Unique (%)	74.5%

Sample

1st row	https://www.tvmaze.com/shows/41648/sim-for-you
2nd row	https://www.tvmaze.com/shows/10892/troe-iz-prostokvasino
3rd row	https://www.tvmaze.com/shows/10892/troe-iz-prostokvasino
4th row	https://www.tvmaze.com/shows/35551/soul-land
5th row	https://www.tvmaze.com/shows/49740/tokyo-joshi-pro-wrestling

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/51125/detention	2	4.3%
https://www.tvmaze.com/shows/47912/the-wolf	2	4.3%
https://www.tvmaze.com/shows/10892/troe-iz-prostokvasino	2	4.3%
https://www.tvmaze.com/shows/52743/the-penalty-zone	2	4.3%
https://www.tvmaze.com/shows/54762/youths-in-the-breeze	2	4.3%
https://www.tvmaze.com/shows/52806/ultimate-note	2	4.3%
https://www.tvmaze.com/shows/53754/lovely-bites-by-chef-lovely	1	2.1%
https://www.tvmaze.com/shows/50939/rail-romanesque	1	2.1%
https://www.tvmaze.com/shows/50839/um-actually	1	2.1%
https://www.tvmaze.com/shows/25294/ufc-fight-pass-prelims	1	2.1%
Other values (31)	31	66.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/51125/detention	2	4.3%
https://www.tvmaze.com/shows/10892/troe-iz-prostokvasino	2	4.3%
https://www.tvmaze.com/shows/52743/the-penalty-zone	2	4.3%
https://www.tvmaze.com/shows/54762/youths-in-the-breeze	2	4.3%
https://www.tvmaze.com/shows/52806/ultimate-note	2	4.3%
https://www.tvmaze.com/shows/47912/the-wolf	2	4.3%
https://www.tvmaze.com/shows/53888/fandom-tour	1	2.1%
https://www.tvmaze.com/shows/35551/soul-land	1	2.1%
https://www.tvmaze.com/shows/49740/tokyo-joshi-pro-wrestling	1	2.1%
https://www.tvmaze.com/shows/51670/heaven-officials-blessing	1	2.1%
Other values (31)	31	66.0%

Most occurring characters

Value	Count	Frequency (%)
/	235	9.9%
w	205	8.7%
t	197	8.3%
s	182	7.7%
o	154	6.5%
e	126	5.3%
h	117	4.9%
m	110	4.6%
.	94	4.0%
a	85	3.6%
Other values (30)	863	36.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1673	70.7%
Other Punctuation	376	15.9%
Decimal Number	237	10.0%
Dash Punctuation	82	3.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	205	12.3%
t	197	11.8%
s	182	10.9%
o	154	9.2%
e	126	7.5%
h	117	7.0%
m	110	6.6%
a	85	5.1%
c	59	3.5%
p	57	3.4%
Other values (16)	381	22.8%

Decimal Number

Value	Count	Frequency (%)
5	44	18.6%
4	26	11.0%
6	24	10.1%
0	23	9.7%
1	22	9.3%
2	22	9.3%
9	21	8.9%
8	20	8.4%
3	18	7.6%
7	17	7.2%

Other Punctuation

Value	Count	Frequency (%)
/	235	62.5%
.	94	25.0%
:	47	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	82	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1673	70.7%
Common	695	29.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	205	12.3%
t	197	11.8%
s	182	10.9%
o	154	9.2%
e	126	7.5%
h	117	7.0%
m	110	6.6%
a	85	5.1%
c	59	3.5%
p	57	3.4%
Other values (16)	381	22.8%

Common

Value	Count	Frequency (%)
/	235	33.8%
.	94	13.5%
-	82	11.8%
:	47	6.8%
5	44	6.3%
4	26	3.7%
6	24	3.5%
0	23	3.3%
1	22	3.2%
2	22	3.2%
Other values (4)	76	10.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2368	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	235	9.9%
w	205	8.7%
t	197	8.3%
s	182	7.7%
o	154	6.5%
e	126	5.3%
h	117	4.9%
m	110	4.6%
.	94	4.0%
a	85	3.6%
Other values (30)	863	36.4%

_embedded_show_name
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	41
Distinct (%)	87.2%
Missing	0
Missing (%)	0.0%
Memory size	504.0 B

Detention	2
The Wolf	2
Трое из Простоквашино	2
The Penalty Zone	2
Youths in the Breeze	2
Other values (36)	37

Length

Max length	30
Median length	22
Mean length	15.61702128
Min length	4

Characters and Unicode

Total characters	734
Distinct characters	81
Distinct categories	5 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	35 ?
Unique (%)	74.5%

Sample

1st row	Sim for You
2nd row	Трое из Простоквашино
3rd row	Трое из Простоквашино
4th row	Soul Land
5th row	Tokyo Joshi Pro Wrestling

Common Values

Value	Count	Frequency (%)
Detention	2	4.3%
The Wolf	2	4.3%
Трое из Простоквашино	2	4.3%
The Penalty Zone	2	4.3%
Youths in the Breeze	2	4.3%
Ultimate Note	2	4.3%
Lovely Bites by Chef Lovely	1	2.1%
Rail Romanesque	1	2.1%
Um, Actually...	1	2.1%
UFC Fight Pass Prelims	1	2.1%
Other values (31)	31	66.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	8	6.2%
in	3	2.3%
detention	2	1.6%
ultimate	2	1.6%
to	2	1.6%
world	2	1.6%
fight	2	1.6%
ufc	2	1.6%
by	2	1.6%
lovely	2	1.6%
Other values (92)	102	79.1%

Most occurring characters

Value	Count	Frequency (%)
	82	11.2%
e	73	9.9%
o	42	5.7%
i	41	5.6%
t	40	5.4%
n	33	4.5%
a	30	4.1%
s	28	3.8%
r	26	3.5%
l	24	3.3%
Other values (71)	315	42.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	515	70.2%
Uppercase Letter	124	16.9%
Space Separator	82	11.2%
Other Punctuation	9	1.2%
Decimal Number	4	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	73	14.2%
o	42	8.2%
i	41	8.0%
t	40	7.8%
n	33	6.4%
a	30	5.8%
s	28	5.4%
r	26	5.0%
l	24	4.7%
h	19	3.7%
Other values (37)	159	30.9%

Uppercase Letter

Value	Count	Frequency (%)
W	14	11.3%
T	11	8.9%
B	9	7.3%
S	9	7.3%
D	8	6.5%
U	6	4.8%
Y	6	4.8%
P	5	4.0%
O	5	4.0%
F	5	4.0%
Other values (16)	46	37.1%

Other Punctuation

Value	Count	Frequency (%)
'	3	33.3%
.	3	33.3%
,	1	11.1%
?	1	11.1%
:	1	11.1%

Decimal Number

Value	Count	Frequency (%)
2	2	50.0%
0	2	50.0%

Space Separator

Value	Count	Frequency (%)
	82	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	585	79.7%
Common	95	12.9%
Cyrillic	54	7.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	73	12.5%
o	42	7.2%
i	41	7.0%
t	40	6.8%
n	33	5.6%
a	30	5.1%
s	28	4.8%
r	26	4.4%
l	24	4.1%
h	19	3.2%
Other values (40)	229	39.1%

Cyrillic

Value	Count	Frequency (%)
о	12	22.2%
и	4	7.4%
р	4	7.4%
е	3	5.6%
т	3	5.6%
м	2	3.7%
ш	2	3.7%
с	2	3.7%
з	2	3.7%
П	2	3.7%
Other values (13)	18	33.3%

Common

Value	Count	Frequency (%)
	82	86.3%
'	3	3.2%
.	3	3.2%
2	2	2.1%
0	2	2.1%
,	1	1.1%
?	1	1.1%
:	1	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	678	92.4%
Cyrillic	54	7.4%
None	2	0.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	82	12.1%
e	73	10.8%
o	42	6.2%
i	41	6.0%
t	40	5.9%
n	33	4.9%
a	30	4.4%
s	28	4.1%
r	26	3.8%
l	24	3.5%
Other values (46)	259	38.2%

Cyrillic

Value	Count	Frequency (%)
о	12	22.2%
и	4	7.4%
р	4	7.4%
е	3	5.6%
т	3	5.6%
м	2	3.7%
ш	2	3.7%
с	2	3.7%
з	2	3.7%
П	2	3.7%
Other values (13)	18	33.3%

None

Value	Count	Frequency (%)
å	1	50.0%
ø	1	50.0%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	17.0%
Missing	0
Missing (%)	0.0%
Memory size	504.0 B

Scripted	22
Animation	7
Documentary	5
Sports	4
Reality	3
Other values (3)	6

Length

Max length	11
Median length	9
Mean length	8.319148936
Min length	6

Characters and Unicode

Total characters	391
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	2.1%

Sample

1st row	Reality
2nd row	Animation
3rd row	Animation
4th row	Animation
5th row	Sports

Common Values

Value	Count	Frequency (%)
Scripted	22	46.8%
Animation	7	14.9%
Documentary	5	10.6%
Sports	4	8.5%
Reality	3	6.4%
Talk Show	3	6.4%
Game Show	2	4.3%
Variety	1	2.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
scripted	22	42.3%
animation	7	13.5%
documentary	5	9.6%
show	5	9.6%
sports	4	7.7%
reality	3	5.8%
talk	3	5.8%
game	2	3.8%
variety	1	1.9%

Most occurring characters

Value	Count	Frequency (%)
t	42	10.7%
i	40	10.2%
e	33	8.4%
r	32	8.2%
S	31	7.9%
c	27	6.9%
p	26	6.6%
d	22	5.6%
a	21	5.4%
o	21	5.4%
Other values (16)	96	24.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	334	85.4%
Uppercase Letter	52	13.3%
Space Separator	5	1.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	42	12.6%
i	40	12.0%
e	33	9.9%
r	32	9.6%
c	27	8.1%
p	26	7.8%
d	22	6.6%
a	21	6.3%
o	21	6.3%
n	19	5.7%
Other values (8)	51	15.3%

Uppercase Letter

Value	Count	Frequency (%)
S	31	59.6%
A	7	13.5%
D	5	9.6%
T	3	5.8%
R	3	5.8%
G	2	3.8%
V	1	1.9%

Space Separator

Value	Count	Frequency (%)
	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	386	98.7%
Common	5	1.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	42	10.9%
i	40	10.4%
e	33	8.5%
r	32	8.3%
S	31	8.0%
c	27	7.0%
p	26	6.7%
d	22	5.7%
a	21	5.4%
o	21	5.4%
Other values (15)	91	23.6%

Common

Value	Count	Frequency (%)
	5	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	391	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	42	10.7%
i	40	10.2%
e	33	8.4%
r	32	8.2%
S	31	7.9%
c	27	6.9%
p	26	6.6%
d	22	5.6%
a	21	5.4%
o	21	5.4%
Other values (16)	96	24.6%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	23.4%
Missing	0
Missing (%)	0.0%
Memory size	504.0 B

English	14
Chinese	13
Norwegian	5
Russian	4
Korean	3
Other values (6)	8

Length

Max length	9
Median length	7
Mean length	7.085106383
Min length	4

Characters and Unicode

Total characters	333
Distinct characters	27
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	10.6%

Sample

1st row	Korean
2nd row	Russian
3rd row	Russian
4th row	Chinese
5th row	Japanese

Common Values

Value	Count	Frequency (%)
English	14	29.8%
Chinese	13	27.7%
Norwegian	5	10.6%
Russian	4	8.5%
Korean	3	6.4%
Japanese	3	6.4%
Dutch	1	2.1%
Thai	1	2.1%
Tagalog	1	2.1%
Panjabi	1	2.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
english	14	29.8%
chinese	13	27.7%
norwegian	5	10.6%
russian	4	8.5%
korean	3	6.4%
japanese	3	6.4%
dutch	1	2.1%
thai	1	2.1%
tagalog	1	2.1%
panjabi	1	2.1%

Most occurring characters

Value	Count	Frequency (%)
n	43	12.9%
e	40	12.0%
i	39	11.7%
s	38	11.4%
h	29	8.7%
a	24	7.2%
g	21	6.3%
l	15	4.5%
E	14	4.2%
C	13	3.9%
Other values (17)	57	17.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	286	85.9%
Uppercase Letter	47	14.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	43	15.0%
e	40	14.0%
i	39	13.6%
s	38	13.3%
h	29	10.1%
a	24	8.4%
g	21	7.3%
l	15	5.2%
r	9	3.1%
o	9	3.1%
Other values (7)	19	6.6%

Uppercase Letter

Value	Count	Frequency (%)
E	14	29.8%
C	13	27.7%
N	5	10.6%
R	4	8.5%
J	3	6.4%
K	3	6.4%
T	2	4.3%
D	1	2.1%
P	1	2.1%
A	1	2.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	333	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	43	12.9%
e	40	12.0%
i	39	11.7%
s	38	11.4%
h	29	8.7%
a	24	7.2%
g	21	6.3%
l	15	4.5%
E	14	4.2%
C	13	3.9%
Other values (17)	57	17.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	333	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	43	12.9%
e	40	12.0%
i	39	11.7%
s	38	11.4%
h	29	8.7%
a	24	7.2%
g	21	6.3%
l	15	4.5%
E	14	4.2%
C	13	3.9%
Other values (17)	57	17.1%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	25
Distinct (%)	53.2%
Missing	0
Missing (%)	0.0%
Memory size	504.0 B

[]	13
['Drama', 'Romance']	4
['Drama', 'Action', 'Crime']	2
['Drama', 'Romance', 'History']	2
['Drama', 'Fantasy']	2
Other values (20)	24

Length

Max length	51
Median length	40
Mean length	18.44680851
Min length	2

Characters and Unicode

Total characters	867
Distinct characters	33
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	34.0%

Sample

1st row	[]
2nd row	['Children', 'Family']
3rd row	['Children', 'Family']
4th row	['Action', 'Adventure', 'Anime', 'Fantasy']
5th row	[]

Common Values

Value	Count	Frequency (%)
[]	13	27.7%
['Drama', 'Romance']	4	8.5%
['Drama', 'Action', 'Crime']	2	4.3%
['Drama', 'Romance', 'History']	2	4.3%
['Drama', 'Fantasy']	2	4.3%
['Comedy']	2	4.3%
['Children', 'Family']	2	4.3%
['Drama', 'Comedy', 'Adventure']	2	4.3%
['Drama', 'Horror', 'Thriller']	2	4.3%
['Comedy', 'Anime', 'Science-Fiction']	1	2.1%
Other values (15)	15	31.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
drama	19	20.2%
	13	13.8%
romance	8	8.5%
comedy	8	8.5%
fantasy	5	5.3%
adventure	5	5.3%
action	5	5.3%
children	4	4.3%
horror	4	4.3%
anime	4	4.3%
Other values (11)	19	20.2%

Most occurring characters

Value	Count	Frequency (%)
'	162	18.7%
a	62	7.2%
r	54	6.2%
[	47	5.4%
]	47	5.4%
,	47	5.4%
	47	5.4%
e	45	5.2%
m	44	5.1%
o	37	4.3%
Other values (23)	275	31.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	432	49.8%
Other Punctuation	209	24.1%
Uppercase Letter	83	9.6%
Open Punctuation	47	5.4%
Close Punctuation	47	5.4%
Space Separator	47	5.4%
Dash Punctuation	2	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	62	14.4%
r	54	12.5%
e	45	10.4%
m	44	10.2%
o	37	8.6%
n	35	8.1%
i	30	6.9%
t	22	5.1%
y	21	4.9%
c	20	4.6%
Other values (7)	62	14.4%

Uppercase Letter

Value	Count	Frequency (%)
D	19	22.9%
C	14	16.9%
A	14	16.9%
F	11	13.3%
R	8	9.6%
H	7	8.4%
T	4	4.8%
S	3	3.6%
M	2	2.4%
W	1	1.2%

Other Punctuation

Value	Count	Frequency (%)
'	162	77.5%
,	47	22.5%

Open Punctuation

Value	Count	Frequency (%)
[	47	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	47	100.0%

Space Separator

Value	Count	Frequency (%)
	47	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	515	59.4%
Common	352	40.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	62	12.0%
r	54	10.5%
e	45	8.7%
m	44	8.5%
o	37	7.2%
n	35	6.8%
i	30	5.8%
t	22	4.3%
y	21	4.1%
c	20	3.9%
Other values (17)	145	28.2%

Common

Value	Count	Frequency (%)
'	162	46.0%
[	47	13.4%
]	47	13.4%
,	47	13.4%
	47	13.4%
-	2	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	867	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	162	18.7%
a	62	7.2%
r	54	6.2%
[	47	5.4%
]	47	5.4%
,	47	5.4%
	47	5.4%
e	45	5.2%
m	44	5.1%
o	37	4.3%
Other values (23)	275	31.7%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	6.4%
Missing	0
Missing (%)	0.0%
Memory size	504.0 B

Running	26
Ended	16
To Be Determined	5

Length

Max length	16
Median length	7
Mean length	7.276595745
Min length	5

Characters and Unicode

Total characters	342
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Running
2nd row	Running
3rd row	Running
4th row	Running
5th row	Running

Common Values

Value	Count	Frequency (%)
Running	26	55.3%
Ended	16	34.0%
To Be Determined	5	10.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
running	26	45.6%
ended	16	28.1%
to	5	8.8%
be	5	8.8%
determined	5	8.8%

Most occurring characters

Value	Count	Frequency (%)
n	99	28.9%
d	37	10.8%
e	36	10.5%
i	31	9.1%
R	26	7.6%
u	26	7.6%
g	26	7.6%
E	16	4.7%
	10	2.9%
T	5	1.5%
Other values (6)	30	8.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	275	80.4%
Uppercase Letter	57	16.7%
Space Separator	10	2.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	99	36.0%
d	37	13.5%
e	36	13.1%
i	31	11.3%
u	26	9.5%
g	26	9.5%
o	5	1.8%
t	5	1.8%
r	5	1.8%
m	5	1.8%

Uppercase Letter

Value	Count	Frequency (%)
R	26	45.6%
E	16	28.1%
T	5	8.8%
B	5	8.8%
D	5	8.8%

Space Separator

Value	Count	Frequency (%)
	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	332	97.1%
Common	10	2.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	99	29.8%
d	37	11.1%
e	36	10.8%
i	31	9.3%
R	26	7.8%
u	26	7.8%
g	26	7.8%
E	16	4.8%
T	5	1.5%
o	5	1.5%
Other values (5)	25	7.5%

Common

Value	Count	Frequency (%)
	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	342	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	99	28.9%
d	37	10.8%
e	36	10.5%
i	31	9.1%
R	26	7.6%
u	26	7.6%
g	26	7.6%
E	16	4.7%
	10	2.9%
T	5	1.5%
Other values (6)	30	8.8%

_embedded_show_runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	12
Distinct (%)	35.3%
Missing	13
Missing (%)	27.7%
Infinite	0
Infinite (%)	0.0%
Mean	35.70588235

Minimum	5
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	504.0 B

Quantile statistics

Minimum	5
5-th percentile	7
Q1	17
median	25
Q3	45
95-th percentile	120
Maximum	120
Range	115
Interquartile range (IQR)	28

Descriptive statistics

Standard deviation	30.53912484
Coefficient of variation (CV)	0.8552967419
Kurtosis	3.267210736
Mean	35.70588235
Median Absolute Deviation (MAD)	16
Skewness	1.861814839
Sum	1214
Variance	932.6381462
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
45	7	14.9%
25	5	10.6%
7	4	8.5%
30	4	8.5%
20	3	6.4%
120	3	6.4%
15	2	4.3%
60	2	4.3%
16	1	2.1%
11	1	2.1%
Other values (2)	2	4.3%
(Missing)	13	27.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	2.1%
7	4	8.5%
11	1	2.1%
15	2	4.3%
16	1	2.1%
20	3	6.4%
24	1	2.1%
25	5	10.6%
30	4	8.5%
45	7	14.9%

Value	Count	Frequency (%)
120	3	6.4%
60	2	4.3%
45	7	14.9%
30	4	8.5%
25	5	10.6%
24	1	2.1%
20	3	6.4%
16	1	2.1%
15	2	4.3%
11	1	2.1%

_embedded_show_averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	26
Distinct (%)	61.9%
Missing	5
Missing (%)	10.6%
Infinite	0
Infinite (%)	0.0%
Mean	36.83333333

Minimum	5
Maximum	190
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	504.0 B

Quantile statistics

Minimum	5
5-th percentile	7.1
Q1	15.25
median	26.5
Q3	45
95-th percentile	117.7
Maximum	190
Range	185
Interquartile range (IQR)	29.75

Descriptive statistics

Standard deviation	35.26825192
Coefficient of variation (CV)	0.9575091019
Kurtosis	8.720615025
Mean	36.83333333
Median Absolute Deviation (MAD)	15.5
Skewness	2.667866835
Sum	1547
Variance	1243.849593
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
45	6	12.8%
15	3	6.4%
30	3	6.4%
17	2	4.3%
20	2	4.3%
120	2	4.3%
25	2	4.3%
7	2	4.3%
51	2	4.3%
11	2	4.3%
Other values (16)	16	34.0%
(Missing)	5	10.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	2.1%
7	2	4.3%
9	1	2.1%
10	1	2.1%
11	2	4.3%
13	1	2.1%
15	3	6.4%
16	1	2.1%
17	2	4.3%
20	2	4.3%

Value	Count	Frequency (%)
190	1	2.1%
120	2	4.3%
74	1	2.1%
60	1	2.1%
56	1	2.1%
51	2	4.3%
45	6	12.8%
43	1	2.1%
39	1	2.1%
30	3	6.4%

_embedded_show_premiered
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	38
Distinct (%)	80.9%
Missing	0
Missing (%)	0.0%
Memory size	504.0 B

2020-12-05	3
2020-10-03	2
2020-12-13	2
1978-06-10	2
2020-11-14	2
Other values (33)	36

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	470
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	30 ?
Unique (%)	63.8%

Sample

1st row	2019-03-25
2nd row	1978-06-10
3rd row	1978-06-10
4th row	2018-01-13
5th row	2013-01-30

Common Values

Value	Count	Frequency (%)
2020-12-05	3	6.4%
2020-10-03	2	4.3%
2020-12-13	2	4.3%
1978-06-10	2	4.3%
2020-11-14	2	4.3%
2020-12-16	2	4.3%
2020-12-10	2	4.3%
2020-11-19	2	4.3%
2017-01-15	1	2.1%
2016-08-02	1	2.1%
Other values (28)	28	59.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-05	3	6.4%
2020-12-13	2	4.3%
1978-06-10	2	4.3%
2020-11-14	2	4.3%
2020-12-16	2	4.3%
2020-12-10	2	4.3%
2020-11-19	2	4.3%
2020-10-03	2	4.3%
2020-09-19	1	2.1%
2016-12-17	1	2.1%
Other values (28)	28	59.6%

Most occurring characters

Value	Count	Frequency (%)
0	117	24.9%
2	97	20.6%
-	94	20.0%
1	89	18.9%
9	19	4.0%
3	12	2.6%
8	11	2.3%
6	10	2.1%
7	9	1.9%
5	8	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	376	80.0%
Dash Punctuation	94	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	117	31.1%
2	97	25.8%
1	89	23.7%
9	19	5.1%
3	12	3.2%
8	11	2.9%
6	10	2.7%
7	9	2.4%
5	8	2.1%
4	4	1.1%

Dash Punctuation

Value	Count	Frequency (%)
-	94	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	470	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	117	24.9%
2	97	20.6%
-	94	20.0%
1	89	18.9%
9	19	4.0%
3	12	2.6%
8	11	2.3%
6	10	2.1%
7	9	1.9%
5	8	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	470	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	117	24.9%
2	97	20.6%
-	94	20.0%
1	89	18.9%
9	19	4.0%
3	12	2.6%
8	11	2.3%
6	10	2.1%
7	9	1.9%
5	8	1.7%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	21.3%
Missing	0
Missing (%)	0.0%
Memory size	504.0 B

nan	31
2021-01-02	3
2020-12-19	3
2021-01-04	2
2020-12-22	2
Other values (5)	6

Length

Max length	10
Median length	3
Mean length	5.382978723
Min length	3

Characters and Unicode

Total characters	253
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	8.5%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	31	66.0%
2021-01-02	3	6.4%
2020-12-19	3	6.4%
2021-01-04	2	4.3%
2020-12-22	2	4.3%
2020-12-26	2	4.3%
2020-12-24	1	2.1%
2021-01-09	1	2.1%
2021-03-01	1	2.1%
2021-01-23	1	2.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	31	66.0%
2021-01-02	3	6.4%
2020-12-19	3	6.4%
2021-01-04	2	4.3%
2020-12-22	2	4.3%
2020-12-26	2	4.3%
2020-12-24	1	2.1%
2021-01-09	1	2.1%
2021-03-01	1	2.1%
2021-01-23	1	2.1%

Most occurring characters

Value	Count	Frequency (%)
n	62	24.5%
2	51	20.2%
0	39	15.4%
-	32	12.6%
a	31	12.3%
1	27	10.7%
9	4	1.6%
4	3	1.2%
6	2	0.8%
3	2	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	128	50.6%
Lowercase Letter	93	36.8%
Dash Punctuation	32	12.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	51	39.8%
0	39	30.5%
1	27	21.1%
9	4	3.1%
4	3	2.3%
6	2	1.6%
3	2	1.6%

Lowercase Letter

Value	Count	Frequency (%)
n	62	66.7%
a	31	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	32	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	160	63.2%
Latin	93	36.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	51	31.9%
0	39	24.4%
-	32	20.0%
1	27	16.9%
9	4	2.5%
4	3	1.9%
6	2	1.2%
3	2	1.2%

Latin

Value	Count	Frequency (%)
n	62	66.7%
a	31	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	253	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	62	24.5%
2	51	20.2%
0	39	15.4%
-	32	12.6%
a	31	12.3%
1	27	10.7%
9	4	1.6%
4	3	1.2%
6	2	0.8%
3	2	0.8%

_embedded_show_officialSite
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	38
Distinct (%)	80.9%
Missing	0
Missing (%)	0.0%
Memory size	504.0 B

nan	4
https://www.netflix.com/title/81329144	2
https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef	2
https://okko.tv/serial/prostokvashino	2
https://www.iqiyi.com/a_19rrhllpip.html	2
Other values (33)	35

Length

Max length	105
Median length	70
Mean length	45.74468085
Min length	3

Characters and Unicode

Total characters	2150
Distinct characters	71
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	31 ?
Unique (%)	66.0%

Sample

1st row	https://www.vlive.tv/video/121637
2nd row	https://okko.tv/serial/prostokvashino
3rd row	https://okko.tv/serial/prostokvashino
4th row	https://v.qq.com/detail/m/m441e3rjq9kwpsc.html
5th row	https://www.ddtpro.com/

Common Values

Value	Count	Frequency (%)
nan	4	8.5%
https://www.netflix.com/title/81329144	2	4.3%
https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef	2	4.3%
https://okko.tv/serial/prostokvashino	2	4.3%
https://www.iqiyi.com/a_19rrhllpip.html	2	4.3%
https://www.iqiyi.com/a_nvzsmw0tgx.html	2	4.3%
https://www.iqiyi.com/lib/m_213579814.html	2	4.3%
https://railromanesque.jp	1	2.1%
https://www.ufc.tv/page/fightpass	1	2.1%
http://www.wwe.com/shows/wwe-talking-smack	1	2.1%
Other values (28)	28	59.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	4	8.5%
https://v.youku.com/v_show/id_xndk4otuxmzg1mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef	2	4.3%
https://okko.tv/serial/prostokvashino	2	4.3%
https://www.iqiyi.com/a_19rrhllpip.html	2	4.3%
https://www.iqiyi.com/a_nvzsmw0tgx.html	2	4.3%
https://www.iqiyi.com/lib/m_213579814.html	2	4.3%
https://www.netflix.com/title/81329144	2	4.3%
https://play.tv2.no/programmer/serier/hjerteslag	1	2.1%
https://www.youtube.com/c/worldwartwo/playlists?view=50&sort=dd&shelf_id=5	1	2.1%
https://www.youtube.com/watch?v=ksjjpb-ekde&list=plv8q_exbqpnah3pkcng8ao4sbwxqfdjsy	1	2.1%
Other values (28)	28	59.6%

Most occurring characters

Value	Count	Frequency (%)
t	173	8.0%
/	168	7.8%
s	113	5.3%
w	102	4.7%
.	96	4.5%
e	94	4.4%
o	94	4.4%
h	86	4.0%
i	84	3.9%
p	80	3.7%
Other values (61)	1060	49.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1457	67.8%
Other Punctuation	328	15.3%
Decimal Number	184	8.6%
Uppercase Letter	127	5.9%
Dash Punctuation	21	1.0%
Math Symbol	19	0.9%
Connector Punctuation	14	0.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	173	11.9%
s	113	7.8%
w	102	7.0%
e	94	6.5%
o	94	6.5%
h	86	5.9%
i	84	5.8%
p	80	5.5%
l	67	4.6%
a	62	4.3%
Other values (16)	502	34.5%

Uppercase Letter

Value	Count	Frequency (%)
P	12	9.4%
M	8	6.3%
T	8	6.3%
L	8	6.3%
A	8	6.3%
Y	7	5.5%
N	7	5.5%
O	6	4.7%
W	6	4.7%
B	6	4.7%
Other values (16)	51	40.2%

Decimal Number

Value	Count	Frequency (%)
4	32	17.4%
1	31	16.8%
3	24	13.0%
2	23	12.5%
5	17	9.2%
0	16	8.7%
6	12	6.5%
9	11	6.0%
8	10	5.4%
7	8	4.3%

Other Punctuation

Value	Count	Frequency (%)
/	168	51.2%
.	96	29.3%
:	43	13.1%
?	9	2.7%
&	6	1.8%
%	6	1.8%

Dash Punctuation

Value	Count	Frequency (%)
-	21	100.0%

Math Symbol

Value	Count	Frequency (%)
=	19	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1584	73.7%
Common	566	26.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	173	10.9%
s	113	7.1%
w	102	6.4%
e	94	5.9%
o	94	5.9%
h	86	5.4%
i	84	5.3%
p	80	5.1%
l	67	4.2%
a	62	3.9%
Other values (42)	629	39.7%

Common

Value	Count	Frequency (%)
/	168	29.7%
.	96	17.0%
:	43	7.6%
4	32	5.7%
1	31	5.5%
3	24	4.2%
2	23	4.1%
-	21	3.7%
=	19	3.4%
5	17	3.0%
Other values (9)	92	16.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2150	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	173	8.0%
/	168	7.8%
s	113	5.3%
w	102	4.7%
.	96	4.5%
e	94	4.4%
o	94	4.4%
h	86	4.0%
i	84	3.9%
p	80	3.7%
Other values (61)	1060	49.3%

_embedded_show_weight
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	28
Distinct (%)	59.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.63829787

Minimum	0
Maximum	93
Zeros	1
Zeros (%)	2.1%
Negative	0
Negative (%)	0.0%
Memory size	504.0 B

Quantile statistics

Minimum	0
5-th percentile	1
Q1	18
median	39
Q3	54
95-th percentile	82.5
Maximum	93
Range	93
Interquartile range (IQR)	36

Descriptive statistics

Standard deviation	25.99450237
Coefficient of variation (CV)	0.7094899021
Kurtosis	-0.7545766893
Mean	36.63829787
Median Absolute Deviation (MAD)	20
Skewness	0.4214490837
Sum	1722
Variance	675.7141536
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
54	4	8.5%
18	3	6.4%
39	3	6.4%
28	3	6.4%
1	3	6.4%
71	2	4.3%
6	2	4.3%
24	2	4.3%
46	2	4.3%
41	2	4.3%
Other values (18)	21	44.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	2.1%
1	3	6.4%
3	1	2.1%
6	2	4.3%
7	1	2.1%
10	2	4.3%
13	1	2.1%
18	3	6.4%
19	2	4.3%
22	1	2.1%

Value	Count	Frequency (%)
93	1	2.1%
89	1	2.1%
84	1	2.1%
79	1	2.1%
72	2	4.3%
71	2	4.3%
61	1	2.1%
57	1	2.1%
54	4	8.5%
52	1	2.1%

_embedded_show_dvdCountry
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Memory size	504.0 B

nan	47

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	141
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	47	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	47	100.0%

Most occurring characters

Value	Count	Frequency (%)
n	94	66.7%
a	47	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	141	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	94	66.7%
a	47	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	141	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	94	66.7%
a	47	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	141	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	94	66.7%
a	47	33.3%

_embedded_show_summary
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	39
Distinct (%)	83.0%
Missing	0
Missing (%)	0.0%
Memory size	504.0 B

nan	4
<p>Curious about his uncle's past, Wu Xie watched a mysterious videotape, only to find himself mixed up in an elaborate conspiracy. In his adventures, he encountered Zhang Qi Ling, Xie Yu Chen, and others. </p>	2
<p>A story that follows undercover cop Gan Tian Lei who spent 10 years of his life walking a gray area. After waking up from a serious injury, he restarts his life and tries to solve a case by relying on his lost memories.</p>	2
<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>	2
<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>	2
Other values (34)	35

Length

Max length	1129
Median length	428
Mean length	363.6382979
Min length	3

Characters and Unicode

Total characters	17091
Distinct characters	99
Distinct categories	13 ?
Distinct scripts	5 ?
Distinct blocks	7 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	33 ?
Unique (%)	70.2%

Sample

1st row	<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>
2nd row	nan
3rd row	nan
4th row	<p>Tang San spent his life in the Tang Outer Sect, dedicated to the creation and mastery of hidden weapons. Once he stole the secret lore of the Inner Sect to reach the pinnacle of his art, his only way out was death. But after throwing himself off the deadly Hell's Peak he was reborn in a different world, the world of Douluo Dalu, a world where every person has a spirit of their own, and those with powerful spirits can practice their spirit power to rise and become Spirit Masters.<br /><br />The spirit that awakens within Tang San is Blue Silver Grass, a useless spirit. Can he overcome the difficulties to reach the high ranks of Spirit Masters and bring the glory of the Tang Sect into this new world?</p>
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	4	8.5%
<p>Curious about his uncle's past, Wu Xie watched a mysterious videotape, only to find himself mixed up in an elaborate conspiracy. In his adventures, he encountered Zhang Qi Ling, Xie Yu Chen, and others. </p>	2	4.3%
<p>A story that follows undercover cop Gan Tian Lei who spent 10 years of his life walking a gray area. After waking up from a serious injury, he restarts his life and tries to solve a case by relying on his lost memories.</p>	2	4.3%
<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>	2	4.3%
<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>	2	4.3%
<p><b>Detention</b> starts at Greenwood High School in the 1990s. Yunxiang Liu, a transfer student, steps into the forbidden area on the campus by accident, where she encounters the ghost of Ruixin Fang. Fang later unveils the hidden history and trauma over the past 30 years, and how a group of young students and teachers were persecuted as they fought for freedom in the era of censorship. Their stories keep coming back to the school like haunting nightmares, waiting to be told and revealed. </p>	2	4.3%
<p>Comedian Yamasato Ryota enters a cafe to prepare a story. Trivial incidents unfold there with the staff, TV people, the manager, and a handsome office worker. Little things bother them, and Yamasato's annoyance reaches its limit. He pulls up his glasses, opens his notebook, and begins to write a story featuring a real-life actress in his notebook. For Yamasato, escaping reality is a "dream time" where he can forget the bad things. This is the start of Ryota Yamazato's fantasy story with the latest actresses and idols as the heroines! <br /> </p>	1	2.1%
<p>The web series revolves around the life of university students.</p>	1	2.1%
<p><b>I Like to Watch</b> is a 2019 American web series hosted by drag queens Trixie Mattel and Katya Zamolodchikova. The series was created by Fran Tirado, produced by Netflix, and streams on the network's YouTube channel. Produced in a similar format to Mattel and Zamolodchikova's web series <i>UNHhhh</i> and <i>The Trixie & Katya Show</i>, <i>I Like to Watch</i> follows its hosts as they view and react to various Netflix Original Programming.</p>	1	2.1%
<p>Destination UA is the project showing Ukraine from foreigner's perspective.</p><p>In First season we spent 30 days traveling along the tourist route called Golden Triangle – Kyiv-Lviv-Odesa.</p><p>We've visited more than 100 locations, tried over two dozen unique Ukrainian dishes, filmed ancient history places and modern spots. We had a lot of fun.</p><p>In the second season of the show we are visited next regions: Kyiv, Chernihiv, Sumy, Kharkiv, Poltava, Dnipro, Kherson, Mykolaiv, Vinnytsia, Zhytomyr.</p><p>Next 100 locations, interesting facts, adventures are waiting for you.</p>	1	2.1%
Other values (29)	29	61.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	169	6.0%
and	107	3.8%
a	81	2.9%
to	70	2.5%
of	68	2.4%
in	49	1.7%
his	32	1.1%
he	30	1.1%
is	25	0.9%
for	23	0.8%
Other values (1144)	2182	76.9%

Most occurring characters

Value	Count	Frequency (%)
	2778	16.3%
e	1532	9.0%
t	1108	6.5%
a	1104	6.5%
i	990	5.8%
o	948	5.5%
n	946	5.5%
s	860	5.0%
r	818	4.8%
h	704	4.1%
Other values (89)	5303	31.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	12794	74.9%
Space Separator	2791	16.3%
Uppercase Letter	599	3.5%
Other Punctuation	494	2.9%
Math Symbol	308	1.8%
Decimal Number	43	0.3%
Dash Punctuation	35	0.2%
Open Punctuation	8	< 0.1%
Close Punctuation	8	< 0.1%
Other Letter	8	< 0.1%
Other values (3)	3	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1532	12.0%
t	1108	8.7%
a	1104	8.6%
i	990	7.7%
o	948	7.4%
n	946	7.4%
s	860	6.7%
r	818	6.4%
h	704	5.5%
d	486	3.8%
Other values (24)	3298	25.8%

Uppercase Letter

Value	Count	Frequency (%)
T	63	10.5%
S	52	8.7%
L	38	6.3%
F	38	6.3%
A	30	5.0%
W	29	4.8%
C	27	4.5%
M	26	4.3%
U	25	4.2%
H	25	4.2%
Other values (17)	246	41.1%

Other Punctuation

Value	Count	Frequency (%)
,	192	38.9%
.	129	26.1%
/	80	16.2%
'	41	8.3%
"	24	4.9%
!	12	2.4%
:	10	2.0%
?	3	0.6%
;	2	0.4%
&	1	0.2%

Other Letter

Value	Count	Frequency (%)
ダ	1	12.5%
ム	1	12.5%
タ	1	12.5%
ス	1	12.5%
社	1	12.5%
会	1	12.5%
式	1	12.5%
株	1	12.5%

Decimal Number

Value	Count	Frequency (%)
0	16	37.2%
1	10	23.3%
9	7	16.3%
3	5	11.6%
2	4	9.3%
4	1	2.3%

Dash Punctuation

Value	Count	Frequency (%)
-	27	77.1%
—	7	20.0%
–	1	2.9%

Space Separator

Value	Count	Frequency (%)
	2778	99.5%
	13	0.5%

Math Symbol

Value	Count	Frequency (%)
<	154	50.0%
>	154	50.0%

Open Punctuation

Value	Count	Frequency (%)
(	7	87.5%
[	1	12.5%

Close Punctuation

Value	Count	Frequency (%)
)	7	87.5%
]	1	12.5%

Other Symbol

Value	Count	Frequency (%)
✪	1	100.0%

Modifier Letter

Value	Count	Frequency (%)
ー	1	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13384	78.3%
Common	3690	21.6%
Cyrillic	9	0.1%
Katakana	4	< 0.1%
Han	4	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1532	11.4%
t	1108	8.3%
a	1104	8.2%
i	990	7.4%
o	948	7.1%
n	946	7.1%
s	860	6.4%
r	818	6.1%
h	704	5.3%
d	486	3.6%
Other values (44)	3888	29.0%

Common

Value	Count	Frequency (%)
	2778	75.3%
,	192	5.2%
<	154	4.2%
>	154	4.2%
.	129	3.5%
/	80	2.2%
'	41	1.1%
-	27	0.7%
"	24	0.7%
0	16	0.4%
Other values (20)	95	2.6%

Cyrillic

Value	Count	Frequency (%)
о	3	33.3%
Х	1	11.1%
д	1	11.1%
ч	1	11.1%
у	1	11.1%
м	1	11.1%
й	1	11.1%

Katakana

Value	Count	Frequency (%)
ダ	1	25.0%
ム	1	25.0%
タ	1	25.0%
ス	1	25.0%

Han

Value	Count	Frequency (%)
社	1	25.0%
会	1	25.0%
式	1	25.0%
株	1	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17048	99.7%
None	15	0.1%
Punctuation	9	0.1%
Cyrillic	9	0.1%
Katakana	5	< 0.1%
CJK	4	< 0.1%
Dingbats	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2778	16.3%
e	1532	9.0%
t	1108	6.5%
a	1104	6.5%
i	990	5.8%
o	948	5.6%
n	946	5.5%
s	860	5.0%
r	818	4.8%
h	704	4.1%
Other values (66)	5260	30.9%

None

Value	Count	Frequency (%)
	13	86.7%
ā	1	6.7%
æ	1	6.7%

Punctuation

Value	Count	Frequency (%)
—	7	77.8%
‘	1	11.1%
–	1	11.1%

Cyrillic

Value	Count	Frequency (%)
о	3	33.3%
Х	1	11.1%
д	1	11.1%
ч	1	11.1%
у	1	11.1%
м	1	11.1%
й	1	11.1%

Dingbats

Value	Count	Frequency (%)
✪	1	100.0%

Katakana

Value	Count	Frequency (%)
ダ	1	20.0%
ム	1	20.0%
ー	1	20.0%
タ	1	20.0%
ス	1	20.0%

CJK

Value	Count	Frequency (%)
社	1	25.0%
会	1	25.0%
式	1	25.0%
株	1	25.0%

_embedded_show_updated
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	41
Distinct (%)	87.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1638024506

Minimum	1608499007
Maximum	1652117460
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	504.0 B

Quantile statistics

Minimum	1608499007
5-th percentile	1609799896
Q1	1626079076
median	1645408020
Q3	1650364384
95-th percentile	1651949892
Maximum	1652117460
Range	43618453
Interquartile range (IQR)	24285307.5

Descriptive statistics

Standard deviation	15152330.35
Coefficient of variation (CV)	0.009250368537
Kurtosis	-0.661572022
Mean	1638024506
Median Absolute Deviation (MAD)	6354024
Skewness	-0.9082452064
Sum	7.698715177 × 10¹⁰
Variance	2.295931151 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
1609887201	2	4.3%
1648217029	2	4.3%
1651338648	2	4.3%
1609799896	2	4.3%
1618466682	2	4.3%
1649178084	2	4.3%
1623829529	1	2.1%
1645753159	1	2.1%
1652117460	1	2.1%
1646528986	1	2.1%
Other values (31)	31	66.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1608499007	1	2.1%
1609359827	1	2.1%
1609799896	2	4.3%
1609887201	2	4.3%
1611436842	1	2.1%
1618466682	2	4.3%
1623829529	1	2.1%
1623829675	1	2.1%
1624646954	1	2.1%
1627511198	1	2.1%

Value	Count	Frequency (%)
1652117460	1	2.1%
1652080636	1	2.1%
1652029414	1	2.1%
1651764342	1	2.1%
1651762044	1	2.1%
1651496542	1	2.1%
1651417027	1	2.1%
1651338648	2	4.3%
1650949116	1	2.1%
1650908800	1	2.1%

_links_self_href
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	47
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	504.0 B

https://api.tvmaze.com/episodes/1977902	1
https://api.tvmaze.com/episodes/2312227	1
https://api.tvmaze.com/episodes/2013871	1
https://api.tvmaze.com/episodes/2065447	1
https://api.tvmaze.com/episodes/2090654	1
Other values (42)	42

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	1833
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	47 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/1977902
2nd row	https://api.tvmaze.com/episodes/2015818
3rd row	https://api.tvmaze.com/episodes/1964000
4th row	https://api.tvmaze.com/episodes/1995405
5th row	https://api.tvmaze.com/episodes/2007760

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	2.1%
https://api.tvmaze.com/episodes/2312227	1	2.1%
https://api.tvmaze.com/episodes/2013871	1	2.1%
https://api.tvmaze.com/episodes/2065447	1	2.1%
https://api.tvmaze.com/episodes/2090654	1	2.1%
https://api.tvmaze.com/episodes/2090655	1	2.1%
https://api.tvmaze.com/episodes/2169203	1	2.1%
https://api.tvmaze.com/episodes/2312223	1	2.1%
https://api.tvmaze.com/episodes/2312224	1	2.1%
https://api.tvmaze.com/episodes/2312225	1	2.1%
Other values (37)	37	78.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	2.1%
https://api.tvmaze.com/episodes/2324432	1	2.1%
https://api.tvmaze.com/episodes/1964000	1	2.1%
https://api.tvmaze.com/episodes/1995405	1	2.1%
https://api.tvmaze.com/episodes/2007760	1	2.1%
https://api.tvmaze.com/episodes/1985789	1	2.1%
https://api.tvmaze.com/episodes/2039622	1	2.1%
https://api.tvmaze.com/episodes/2039623	1	2.1%
https://api.tvmaze.com/episodes/2324427	1	2.1%
https://api.tvmaze.com/episodes/2324428	1	2.1%
Other values (37)	37	78.7%

Most occurring characters

Value	Count	Frequency (%)
/	188	10.3%
t	141	7.7%
p	141	7.7%
s	141	7.7%
e	141	7.7%
a	94	5.1%
i	94	5.1%
.	94	5.1%
m	94	5.1%
o	94	5.1%
Other values (16)	611	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1175	64.1%
Other Punctuation	329	17.9%
Decimal Number	329	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	141	12.0%
p	141	12.0%
s	141	12.0%
e	141	12.0%
a	94	8.0%
i	94	8.0%
m	94	8.0%
o	94	8.0%
h	47	4.0%
d	47	4.0%
Other values (3)	141	12.0%

Decimal Number

Value	Count	Frequency (%)
2	71	21.6%
9	44	13.4%
1	39	11.9%
0	38	11.6%
3	28	8.5%
4	26	7.9%
8	23	7.0%
7	22	6.7%
6	19	5.8%
5	19	5.8%

Other Punctuation

Value	Count	Frequency (%)
/	188	57.1%
.	94	28.6%
:	47	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1175	64.1%
Common	658	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	188	28.6%
.	94	14.3%
2	71	10.8%
:	47	7.1%
9	44	6.7%
1	39	5.9%
0	38	5.8%
3	28	4.3%
4	26	4.0%
8	23	3.5%
Other values (3)	60	9.1%

Latin

Value	Count	Frequency (%)
t	141	12.0%
p	141	12.0%
s	141	12.0%
e	141	12.0%
a	94	8.0%
i	94	8.0%
m	94	8.0%
o	94	8.0%
h	47	4.0%
d	47	4.0%
Other values (3)	141	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1833	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	188	10.3%
t	141	7.7%
p	141	7.7%
s	141	7.7%
e	141	7.7%
a	94	5.1%
i	94	5.1%
.	94	5.1%
m	94	5.1%
o	94	5.1%
Other values (16)	611	33.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	image	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
0	1988862	https://www.tvmaze.com/episodes/1988862/sim-for-you-4x24-chanyeols-episode-24	Chanyeol's Episode 24	4.0	24.0	regular	2020-12-19	06:00	2020-12-18T21:00:00+00:00	16.0	None	<p><b>#VacanceAlbumRelease #Thisistheend #(There'sacookie)</b></p>	41648	https://www.tvmaze.com/shows/41648/sim-for-you	Sim for You	Reality	Korean	[]	Running	16.0	16.0	2019-03-25	nan	https://www.vlive.tv/video/121637	71.0	nan	<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>	1.608499e+09	https://api.tvmaze.com/episodes/1977902
1	1989501	https://www.tvmaze.com/episodes/1989501/troe-iz-prostokvasino-2x39-papa-ne-goruj	Папа, не горюй	2.0	39.0	regular	2020-12-19	nan	2020-12-19T00:00:00+00:00	19.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726419.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726419.jpg'}	nan	10892	https://www.tvmaze.com/shows/10892/troe-iz-prostokvasino	Трое из Простоквашино	Animation	Russian	['Children', 'Family']	Running	7.0	15.0	1978-06-10	nan	https://okko.tv/serial/prostokvashino	41.0	nan	nan	1.651339e+09	https://api.tvmaze.com/episodes/2015818
2	1989503	https://www.tvmaze.com/episodes/1989503/troe-iz-prostokvasino-2x40-sneznyj-labirint	Снежный лабиринт	2.0	40.0	regular	2020-12-19	nan	2020-12-19T00:00:00+00:00	19.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726420.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726420.jpg'}	nan	10892	https://www.tvmaze.com/shows/10892/troe-iz-prostokvasino	Трое из Простоквашино	Animation	Russian	['Children', 'Family']	Running	7.0	15.0	1978-06-10	nan	https://okko.tv/serial/prostokvashino	41.0	nan	nan	1.651339e+09	https://api.tvmaze.com/episodes/1964000
3	1988697	https://www.tvmaze.com/episodes/1988697/soul-land-7x05-di135ji	第135集	7.0	5.0	regular	2020-12-19	10:00	2020-12-19T02:00:00+00:00	20.0	None	nan	35551	https://www.tvmaze.com/shows/35551/soul-land	Soul Land	Animation	Chinese	['Action', 'Adventure', 'Anime', 'Fantasy']	Running	20.0	20.0	2018-01-13	nan	https://v.qq.com/detail/m/m441e3rjq9kwpsc.html	89.0	nan	<p>Tang San spent his life in the Tang Outer Sect, dedicated to the creation and mastery of hidden weapons. Once he stole the secret lore of the Inner Sect to reach the pinnacle of his art, his only way out was death. But after throwing himself off the deadly Hell's Peak he was reborn in a different world, the world of Douluo Dalu, a world where every person has a spirit of their own, and those with powerful spirits can practice their spirit power to rise and become Spirit Masters.<br /><br />The spirit that awakens within Tang San is Blue Silver Grass, a useless spirit. Can he overcome the difficulties to reach the high ranks of Spirit Masters and bring the glory of the Tang Sect into this new world?</p>	1.643317e+09	https://api.tvmaze.com/episodes/1995405
4	2138926	https://www.tvmaze.com/episodes/2138926/tokyo-joshi-pro-wrestling-2020-12-19-tjpw-seno-merry-christmas-2020	TJPW Se~No Merry Christmas! 2020	2020.0	44.0	regular	2020-12-19	12:00	2020-12-19T03:00:00+00:00	120.0	None	nan	49740	https://www.tvmaze.com/shows/49740/tokyo-joshi-pro-wrestling	Tokyo Joshi Pro Wrestling	Sports	Japanese	[]	Running	120.0	120.0	2013-01-30	nan	https://www.ddtpro.com/	13.0	nan	nan	1.651764e+09	https://api.tvmaze.com/episodes/2007760
5	1962058	https://www.tvmaze.com/episodes/1962058/heaven-officials-blessing-1x09-evil-taoist-scourge	Evil Taoist Scourge	1.0	9.0	regular	2020-12-19	11:00	2020-12-19T03:00:00+00:00	25.0	None	nan	51670	https://www.tvmaze.com/shows/51670/heaven-officials-blessing	Heaven Official's Blessing	Animation	Chinese	['Drama', 'Anime', 'Fantasy', 'Romance']	Running	25.0	25.0	2020-10-31	nan	https://www.bilibili.com/tgcf	52.0	nan	<p>"Have you heard? The rubbish Heaven Official is having an affair with the ghost realm's number one bigshot!"</p><p>Eight hundred years ago, Xie Lian was the Crown Prince of the Xian Le kingdom; one who was beloved by his citizens and the darling of the world. Unsurprisingly, he ascended to the Heavens at a very young age. Now, eight hundred years later, Xie Lian ascends to the Heavens for the third time as the laughing stock of all three realms. On his first task as a god, he meets a mysterious demon who rules the ghosts and terrifies the Heavens... yet unbeknownst to Xie Lian, this demon king has been paying attention to him for a very, very long time.</p>	1.637712e+09	https://api.tvmaze.com/episodes/1985789
6	1972571	https://www.tvmaze.com/episodes/1972571/the-wolf-1x29-episode-29	Episode 29	1.0	29.0	regular	2020-12-19	nan	2020-12-19T04:00:00+00:00	45.0	None	nan	47912	https://www.tvmaze.com/shows/47912/the-wolf	The Wolf	Scripted	Chinese	['Drama', 'Romance', 'History']	Ended	45.0	45.0	2020-11-19	2021-01-04	https://www.iqiyi.com/lib/m_213579814.html	39.0	nan	<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>	1.648217e+09	https://api.tvmaze.com/episodes/2039622
7	1972572	https://www.tvmaze.com/episodes/1972572/the-wolf-1x30-episode-30	Episode 30	1.0	30.0	regular	2020-12-19	nan	2020-12-19T04:00:00+00:00	45.0	None	nan	47912	https://www.tvmaze.com/shows/47912/the-wolf	The Wolf	Scripted	Chinese	['Drama', 'Romance', 'History']	Ended	45.0	45.0	2020-11-19	2021-01-04	https://www.iqiyi.com/lib/m_213579814.html	39.0	nan	<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>	1.648217e+09	https://api.tvmaze.com/episodes/2039623
8	2071487	https://www.tvmaze.com/episodes/2071487/youths-in-the-breeze-1x17-full-time-sworn-enemy-01	FULL-TIME SWORN ENEMY #01	1.0	17.0	regular	2020-12-19	nan	2020-12-19T04:00:00+00:00	7.0	None	nan	54762	https://www.tvmaze.com/shows/54762/youths-in-the-breeze	Youths in the Breeze	Scripted	Chinese	['Drama', 'Fantasy']	Ended	7.0	7.0	2020-12-13	2020-12-22	https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef	28.0	nan	<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>	1.618467e+09	https://api.tvmaze.com/episodes/2324427
9	2071488	https://www.tvmaze.com/episodes/2071488/youths-in-the-breeze-1x18-full-time-sworn-enemy-02	FULL-TIME SWORN ENEMY #02	1.0	18.0	regular	2020-12-19	nan	2020-12-19T04:00:00+00:00	7.0	None	nan	54762	https://www.tvmaze.com/shows/54762/youths-in-the-breeze	Youths in the Breeze	Scripted	Chinese	['Drama', 'Fantasy']	Ended	7.0	7.0	2020-12-13	2020-12-22	https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef	28.0	nan	<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>	1.618467e+09	https://api.tvmaze.com/episodes/2324428

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	image	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
37	2311214	https://www.tvmaze.com/episodes/2311214/ano-ko-no-yume-wo-mitan-desu-1x12-real	"Real?"	1.0	12.0	regular	2020-12-19	00:15	2020-12-19T15:15:00+00:00	29.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/404/1010042.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/404/1010042.jpg'}	<p>Always alone at school, Yamasato was able to live away from reality by writing his fantasy stories in his notebook. In the story, he is the center of the world, and the heroine, by default, is Ai (Hashimoto Ai), the popular girl at the school. But one day when he opened his notebook, he found the rest of the story he had never written... </p>	61536	https://www.tvmaze.com/shows/61536/ano-ko-no-yume-wo-mitan-desu	Ano ko no Yume wo Mitan Desu	Scripted	Japanese	['Drama', 'Romance', 'Mystery']	Ended	30.0	29.0	2020-10-03	2020-12-19	https://www.tv-tokyo.co.jp/anoyume/intro/	0.0	nan	<p>Comedian Yamasato Ryota enters a cafe to prepare a story. Trivial incidents unfold there with the staff, TV people, the manager, and a handsome office worker. Little things bother them, and Yamasato's annoyance reaches its limit. He pulls up his glasses, opens his notebook, and begins to write a story featuring a real-life actress in his notebook. For Yamasato, escaping reality is a "dream time" where he can forget the bad things. This is the start of Ryota Yamazato's fantasy story with the latest actresses and idols as the heroines! <br /> </p>	1.649793e+09	https://api.tvmaze.com/episodes/2087588
38	1984911	https://www.tvmaze.com/episodes/1984911/rwby-8x07-war	War	8.0	7.0	regular	2020-12-19	11:00	2020-12-19T16:00:00+00:00	15.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/727216.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/727216.jpg'}	<p><b>"</b><i>It's all out war in Atlas. Our heroes face an impossible problem. Where do they go from here?</i><b>"</b></p>	4091	https://www.tvmaze.com/shows/4091/rwby	RWBY	Animation	English	['Action', 'Adventure', 'Anime', 'Science-Fiction']	Running	15.0	13.0	2013-07-18	nan	https://roosterteeth.com/series/rwby	84.0	nan	<p>The future-fantasy world of Remnant is filled with ravenous monsters, treacherous terrain, and more villains than you can shake a sniper-scythe at. Fortunately, Beacon Academy is training Huntsman and Huntresses to battle the evils of the world, and Ruby, Weiss, Blake, and Yang are ready for their first day of class.</p>	1.645408e+09	https://api.tvmaze.com/episodes/2006091
39	1961288	https://www.tvmaze.com/episodes/1961288/wwe-talking-smack-2020-12-19-december-19-2020	December 19, 2020	2020.0	18.0	regular	2020-12-19	nan	2020-12-19T17:00:00+00:00	30.0	None	nan	19667	https://www.tvmaze.com/shows/19667/wwe-talking-smack	WWE Talking Smack	Talk Show	English	['Sports']	Running	30.0	30.0	2016-08-02	nan	http://www.wwe.com/shows/wwe-talking-smack	71.0	nan	<p>On <b>WWE Talking Smack</b>, Renee Young catches up with your favorite SmackDown Superstars after "Smackdown Live" airs on the USA Network to hear their thoughts on all of that evening's action.</p>	1.648133e+09	https://api.tvmaze.com/episodes/1995507
40	2042789	https://www.tvmaze.com/episodes/2042789/ufc-fight-pass-prelims-2020-12-19-ufc-fight-night-198-thompson-vs-neal-prelims	UFC Fight Night 198: Thompson vs. Neal Prelims	2020.0	54.0	regular	2020-12-19	nan	2020-12-19T17:00:00+00:00	60.0	None	nan	25294	https://www.tvmaze.com/shows/25294/ufc-fight-pass-prelims	UFC Fight Pass Prelims	Sports	English	[]	Running	60.0	74.0	2017-01-15	nan	https://www.ufc.tv/page/fightpass	39.0	nan	<p>Televised undercard bouts from UFC Pay-Per-Views and UFC Fight Nights exclusively on UFC Fight Pass.</p>	1.646529e+09	https://api.tvmaze.com/episodes/2008312
41	1988690	https://www.tvmaze.com/episodes/1988690/um-actually-4x10-magic-the-gathering	Magic: the Gathering	4.0	10.0	regular	2020-12-19	nan	2020-12-19T17:00:00+00:00	30.0	None	nan	50839	https://www.tvmaze.com/shows/50839/um-actually	Um, Actually...	Game Show	English	[]	Running	30.0	30.0	2018-09-28	nan	nan	72.0	nan	<p>Introducing a game show of fandom minutiae one-upmanship, where nerds do what nerds do best: flaunt encyclopedic nerd knowledge at Millennium Falcon nerd-speed.</p>	1.652117e+09	https://api.tvmaze.com/episodes/2015837
42	1943281	https://www.tvmaze.com/episodes/1943281/rail-romanesque-1x12-departure-onwards	Departure! Onwards!	1.0	12.0	regular	2020-12-19	nan	2020-12-19T17:00:00+00:00	5.0	None	nan	50939	https://www.tvmaze.com/shows/50939/rail-romanesque	Rail Romanesque	Animation	Japanese	['Comedy', 'Anime', 'Science-Fiction']	Ended	5.0	5.0	2020-10-03	2020-12-19	https://railromanesque.jp	24.0	nan	<p>Set in Hinomoto, a fictional version of Japan, where for a long time railway travel served as the most important form of transport. Each locomotive was paired with a humanoid control module, so-called Raillord, that aided the train operator. However, many rail lines had been discontinued due to the rising popularity of "aerocrafts," a safe and convenient aerial mode of transport. As such, their accompanying railroads also went into a deep sleep. Soutetsu had lost his entire family in a rail accident and was adopted into the Migita household, which runs a shochu brewery in the city of Ohitoyo. He returned to his hometown to save it from the potential water pollution that would occur if they accepted the proposal to build an aerocraft factory nearby. He woke up the Raillord Hachiroku by accident and became her owner. For different purposes, they agreed to help find her lost locomotive, with the help of his stepsister Hibiki, the town's mayor and local railway chief, Paulette and others.</p>	1.645753e+09	https://api.tvmaze.com/episodes/1996819
43	2037520	https://www.tvmaze.com/episodes/2037520/lovely-bites-by-chef-lovely-1x06-dinner-made-with-love	Dinner Made with Love	1.0	6.0	regular	2020-12-19	nan	2020-12-19T17:00:00+00:00	25.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/329/823876.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/329/823876.jpg'}	<p>Chef Lovely creates an elegant dinner for close friends. She makes her Roasted Chicken with Pomegranate Glaze, Green Beans Over Lemon Ricotta and Sweet Potato and Gruyere Gratin. Plus, there's an Upside-Down Pear Tart for dessert. You can taste the love!</p>	53754	https://www.tvmaze.com/shows/53754/lovely-bites-by-chef-lovely	Lovely Bites by Chef Lovely	Reality	English	[]	Running	25.0	25.0	2020-11-14	nan	https://www.oprah.com/app/lovely-bites.html	19.0	nan	<p>Chef Connie "Lovely" Jackson brings the fun with recipes that are perfect for entertaining and celebrating festive occasions. <b>Lovely Bites</b> is produced for OWN by FishBowl Worldwide Media.</p>	1.623830e+09	https://api.tvmaze.com/episodes/2037724
44	1983274	https://www.tvmaze.com/episodes/1983274/eides-spraksjov-6x05-gudbrandsdalen-avdeling-troms	Gudbrandsdalen, avdeling Troms	6.0	5.0	regular	2020-12-19	21:50	2020-12-19T20:50:00+00:00	50.0	None	nan	51631	https://www.tvmaze.com/shows/51631/eides-spraksjov	Eides språksjov	Talk Show	Norwegian	['Comedy']	Running	NaN	43.0	2017-01-11	nan	https://tv.nrk.no/serie/eides-spraaksjov	3.0	nan	<p>Entertainment from here to the moon when Linda Eide and guests pay tribute and joke with language.</p>	1.650017e+09	https://api.tvmaze.com/episodes/2037725
45	1984914	https://www.tvmaze.com/episodes/1984914/onyx-equinox-1x05-predation	Predation	1.0	5.0	regular	2020-12-19	16:00	2020-12-19T21:00:00+00:00	24.0	None	<p>As the group heads for Danibaan, one of them suffers a horrifying injury. With nowhere left to turn, they seek help from a mysterious healer.</p>	48922	https://www.tvmaze.com/shows/48922/onyx-equinox	Onyx Equinox	Animation	English	['Action', 'Adventure', 'Fantasy']	Ended	24.0	24.0	2020-11-21	2020-12-26	https://www.crunchyroll.com/onyx-equinox	46.0	nan	<p>A young Aztec boy is saved from death by the gods and chosen to act as ‘humanity's champion,' forced to discard his apathy toward his fellow man and prove humanity's potential in a fight that spans across fantastical-yet-authentic Mesoamerican cultures.</p>	1.609360e+09	https://api.tvmaze.com/episodes/1988424
46	1984187	https://www.tvmaze.com/episodes/1984187/ufc-fight-night-2020-12-19-ufc-fight-night-183-thompson-vs-neal	UFC Fight Night 183: Thompson vs. Neal	2020.0	30.0	regular	2020-12-19	22:00	2020-12-20T03:00:00+00:00	335.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/721046.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/721046.jpg'}	nan	1596	https://www.tvmaze.com/shows/1596/ufc-fight-night	UFC Fight Night	Sports	English	[]	Running	120.0	190.0	2005-08-06	nan	http://www.ufc.com/	93.0	nan	<p><b>UFC Fight Night</b> is a part of the Ultimate Fighting Championship (UFC) which is the largest mixed martial arts promotion company in the world featuring most of the top-ranked fighters in the sport. Based in the United States, the UFC produces events worldwide. The organization showcases nine weight divisions and abides by the Unified Rules of Mixed Martial Arts. The UFC has held over 300 events to date. Dana White serves as the president of the UFC while brothers Frank and Lorenzo Fertitta control the UFC's parent company, Zuffa, LLC. The first UFC event was held on November 12, 1993 at the McNichols Sports Arena in Denver, Colorado. The purpose of the early UFC competitions was to identify the most effective martial art in a real fight between competitors of different fighting disciplines, including boxing, Brazilian jiu-jitsu, Sambo, wrestling, Muay Thai, karate, judo, and other styles. In subsequent competitions, fighters began adopting effective techniques from more than one discipline, which indirectly helped create an entirely separate style of fighting known as present-day mixed martial arts.</p>	1.651762e+09	https://api.tvmaze.com/episodes/1993940

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